{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Logistic Regression Training on Encrypted Dataset\n",
    "\n",
    "This notebook shows how to train a logistic regression model on encrypted data using stochastic gradient descent (SGD). During this process,\n",
    "the training set remains encrypted at all times and the gradients and loss are encrypted, thus unaccessible by the server performing the training. \n",
    "\n",
    "The result of the encrypted training is a set of encrypted model weights that can only be decrypted by the training set secret-key owner. In Concrete ML the `fit` function encrypts the training data, trains the model producing encrypted weights and then decrypts the weights. The model can then be used in on clear data, or on new encrypted data.\n",
    "\n",
    "Training on encrypted data is especially useful when multiple parties collaborate confidentially, meaning they provide encrypted shares of a training set. \n",
    "\n",
    "In this notebook, a Scikit-Learn model is first trained as the baseline. Next, a Concrete ML model is trained on encrypted data using Fully Homomorphic Encryption."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "# Import dataset libraries and util functions\n",
    "from pathlib import Path\n",
    "from tempfile import TemporaryDirectory\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from concrete.compiler import check_gpu_available\n",
    "from matplotlib.colors import ListedColormap\n",
    "from matplotlib.lines import Line2D\n",
    "from sklearn import datasets\n",
    "from sklearn.linear_model import SGDClassifier as SklearnSGDClassifier\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "from concrete import fhe\n",
    "from concrete.ml.deployment import FHEModelClient, FHEModelDev, FHEModelServer\n",
    "from concrete.ml.sklearn import SGDClassifier\n",
    "\n",
    "use_gpu_if_available = False\n",
    "device = \"cuda\" if use_gpu_if_available and check_gpu_available() else \"cpu\"\n",
    "\n",
    "\n",
    "def plot_decision_boundary(\n",
    "    X, y, clf=None, weights=None, bias=None, title=\"Decision Boundary\", accuracy=None\n",
    "):\n",
    "    # Create a mesh to plot the decision boundaries\n",
    "    x_min, x_max = X[:, 0].min() - 0.1, X[:, 0].max() + 0.1\n",
    "    y_min, y_max = X[:, 1].min() - 0.1, X[:, 1].max() + 0.1\n",
    "    xx, yy = np.meshgrid(np.arange(x_min, x_max, 0.01), np.arange(y_min, y_max, 0.01))\n",
    "\n",
    "    if clf is not None:\n",
    "        # Predictions to get the decision boundary\n",
    "        Z = clf.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "        Z = Z.reshape(xx.shape)\n",
    "        learned_weights = (\n",
    "            f\"Learned weights: \"\n",
    "            f\"{clf.coef_[0][0]:.3f}, \"\n",
    "            f\"{clf.coef_[0][1]:.3f}, \"\n",
    "            f\"{clf.intercept_.reshape((-1,))[0]:.3f}\"\n",
    "        )\n",
    "    elif weights is not None and bias is not None:\n",
    "        # Compute the linear model for the mesh grid\n",
    "        linear_model = np.dot(np.c_[xx.ravel(), yy.ravel()], weights[0]) + bias[0]\n",
    "        Z = np.round(1 / (1 + np.exp(-linear_model)))\n",
    "        Z = Z.reshape(xx.shape)\n",
    "        learned_weights = \"\"\n",
    "    else:\n",
    "        raise ValueError(\"Either 'clf' or both 'weights' and 'bias' must be provided.\")\n",
    "\n",
    "    # Define red and blue color map\n",
    "    cm_bright = ListedColormap([\"#FF0000\", \"#0000FF\"])\n",
    "\n",
    "    # Plotting the results\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    plt.contourf(xx, yy, Z, alpha=0.3, cmap=cm_bright)\n",
    "    plt.scatter(X[:, 0], X[:, 1], c=y, edgecolor=\"k\", cmap=cm_bright)\n",
    "    plt.title(f\"{title} (Accuracy: {accuracy})\\n {learned_weights}\")\n",
    "    plt.xlabel(\"Feature 1\")\n",
    "    plt.ylabel(\"Feature 2\")\n",
    "\n",
    "    # Create a custom legend\n",
    "    legend_elements = [\n",
    "        Line2D(\n",
    "            [0],\n",
    "            [0],\n",
    "            marker=\"o\",\n",
    "            color=\"w\",\n",
    "            label=\"Class 0\",\n",
    "            markerfacecolor=\"#FF0000\",\n",
    "            markersize=10,\n",
    "        ),\n",
    "        Line2D(\n",
    "            [0],\n",
    "            [0],\n",
    "            marker=\"o\",\n",
    "            color=\"w\",\n",
    "            label=\"Class 1\",\n",
    "            markerfacecolor=\"#0000FF\",\n",
    "            markersize=10,\n",
    "        ),\n",
    "    ]\n",
    "    plt.legend(handles=legend_elements, loc=\"upper right\")\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "# Load the Iris dataset\n",
    "X_full, y_full = datasets.load_iris(return_X_y=True)\n",
    "X_full = MinMaxScaler(feature_range=(-1, 1)).fit_transform(X_full)\n",
    "\n",
    "# Select petal length and petal width for visualization\n",
    "X = X_full[:, 2:4]  # Petal length and petal width\n",
    "\n",
    "# Filter the dataset for binary classification (Versicolor and Virginica)\n",
    "# These correspond to target labels 1 and 2 in the Iris dataset\n",
    "binary_filter = (y_full == 1) | (y_full == 2)\n",
    "X_binary = X[binary_filter]\n",
    "X_full_binary = X_full[binary_filter]\n",
    "y_binary = y_full[binary_filter] - 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Baseline Scikit-learn Training on Clear Data \n",
    "\n",
    "Training of the typical Scikit-Learn baseline. A Logistic Regression model is trained using SGD. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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aNVatWsVHH31Ejhw5TPYNCgri448/ZuLEiRb/roov7j2QnCWPQmRnkmQJISyqVasW69at49GjR/j7+zN+/HiePHlCt27dOHv2LBBz75ZOp6NChQovdIwRI0Zw9OhRdu7cScWKFV84Vr1ez507d0x+IiMjk7Xv/fv3efz4Md999x1ubm4mP3EfVOMX+/j555+pUqUKdnZ25M2bFzc3NzZv3kxwcHCCsRP74FqkSBGTP8d9eIn/ofR5165dA6B06dIm262trU2SBIALFy5w5syZBOdUpkwZk3N60Ws4duxYHB0d8fT0pHTp0gwdOpQDBw4kuk9c/M/f/2NjY0OJEiWM7XEKFSqU4IN17ty5E32N4nv+dQIoU6YMoaGh3L9/n/v37xMaGmr2fqTy5ctjMBgSLMNMruevLySM/dq1a2ZjNBfPmTNn6Ny5My4uLjg7O+Pm5mb88P78e8/Dw8NsoZI+ffoQFhbGb7/9BsD58+c5duwYb775ZrLOScVbQhdf3P18QUFBXLx4kYsXL1K9enUiIyNZvXq1sd+lS5coW7YsOXJYrrt16dIl3N3dTZbWpgZzv4sPHz7kvffeI3/+/Njb2+Pm5mbsF/ea3r9/n5CQkAQlzZ+XK1cuvL29Te5JXLZsGR4eHsYvNpIrLvkzd+9k3H1uzy8FjM/Ozo7NmzeTN29eunbtSrFixejTpw8ff/wxefLkwdHR0dh3woQJ5MmTx2zia07ce+BlEl4hsgOpLiiESJKNjY3xBuwyZcrQv39/Vq9ebfab5pTq2LEjK1as4LPPPuOXX35JMJOSXDdu3EjwIWr37t3JKooRV2TAx8eHvn37mu0TV4nL19eXfv360alTJ0aPHk2+fPmwsrJixowZJjfux0nsg5ClqnuWPsimlMFgoHLlysyePdtse+HChV9q/PLly3P+/Hl+//13tm7dytq1a1mwYAEff/xxsu4tS460fo1SwtKHyucLT8RJzdgfP36Ml5cXzs7OTJ06lZIlS2JnZ8fx48cZO3ZsgkIZlt53FSpUoEaNGvj6+tKnTx98fX2xsbGhR48eScaQN29es8nthQsXjLOZ5hLGZcuWMXDgwOScZrKl9FqA+dekR48eHDx4kNGjR1OtWjUcHR0xGAy0bt36hZ7z1adPH1avXs3BgwepXLkyGzduZMiQISn+ey1PnjzY2tpy+/btBG1x29zd3RMdo2LFivzzzz+cPXuWR48eUaFCBezt7Xn//ffx8vICYq7dd999x5w5cwgMDDTuGx4eTlRUFFevXsXZ2dkk4Y17D7i6uqbonITIbiTJEkKkSNxymbh/6EuWLInBYODs2bMvtNSvU6dOtGzZkn79+uHk5MS3336b5D7mPmAVKFCAHTt2mGyrWrVqsmJwc3PDyckJvV6fZMnpNWvWUKJECdatW2cSR2oknMkRV3TgwoULJt+OR0VFceXKFZNzLlmyJKdOnaJZs2aJfuv8MtcwZ86c9OzZk549exIZGUmXLl349NNPGT9+vHFZk7n4z58/bzLzFhkZyZUrV1K95PeFCxcSbAsICMDBwcG4NMrBwYHz588n6Hfu3Dl0Op0xGY2baXz8+LFJ1c3nZ99SomjRomZjfD4ePz8/goKCWLduHY0aNTJuv3LlSoqP2adPH0aOHMnt27f59ddfadeuncVlgPGVK1eOtWvXJti+bNkyrK2tWbp0aYLEcv/+/Xz99ddcv36dIkWKULJkSY4cOUJUVBTW1tZmj1OyZEm2bdvGw4cPLc5mxb8W8aXkWjx69Ihdu3YxZcoUPv74Y+P256+Hm5sbzs7OySoC1Lp1a9zc3Fi2bBm1a9cmNDQ02bOE8el0OipXrmz2AepHjhyhRIkSODk5JTmOpmkmKwS2bNmCwWAw/p7dunULg8HA8OHDGT58eIL9ixcvznvvvWdS/CfuPVe+fPmUnpYQ2YosFxRCmLV7926z37hv2bIF+G85U6dOndDpdEydOjXBN7/J/ca+T58+fP311yxcuJCxY8cm2T9nzpwJPlzZ2dnRvHlzk5/kfHCEmBmHrl27snbtWrMfpO7fv2/SF0zP7ciRIxw6dChZx3pZNWvWxM3NjYULF5osh/zpp58SvCY9evTg1q1bLF68OME4YWFhPHv2DHjxa/h8mWsbGxsqVKiAUspsmXCA5s2bY2Njw9dff20y9g8//EBwcDDt2rWzeLwXcejQIZN75W7cuMGGDRto2bKl8RleLVu2ZMOGDSYl2O/evcuvv/5KgwYNcHZ2BmI+/AMmJeCfPXvGzz///MLxtW3blsOHD+Pv72/cdv/+/QRV6sy97yIjI1mwYEGKj9m7d280TeO9997j8uXLSVYVjFO3bl0ePXqU4H64ZcuW0bBhQ3r27Em3bt1MfkaPHg3A8uXLgZh7FB88eGC2ul7cuXXt2hWllNnZ0Lg+zs7OuLq6JijHn5LXw9xrCiQoYa7T6ejUqRObNm0ym/TE3z9Hjhz07t2bVatW8dNPP1G5cmWT51GlpIR7t27dOHr0qMkxz58/z59//kn37t1N+p47d47r168nOl5YWBgTJ06kYMGC9O7dG4BKlSrx22+/JfipWLEiRYoU4bfffuOtt94yGefYsWNomkbdunWTPAchsjOZyRJCmPXuu+8SGhpK586dKVeuHJGRkRw8eJCVK1dSrFgx471KpUqV4qOPPmLatGk0bNiQLl26YGtry9GjR3F3d2fGjBnJOt6wYcMICQnho48+wsXFhQ8//NBi3xo1avDtt9/yySefUKpUKfLly5esex5+/PFHtm7dmmD7e++9x2effcbu3bupXbs2//vf/6hQoQIPHz7k+PHj7Ny50/hMmPbt27Nu3To6d+5Mu3btuHLlCgsXLqRChQo8ffo0Wef6Mqytrfnkk08YNGgQTZs2pWfPnly5coUlS5YkuCfrzTffZNWqVQwePJjdu3dTv3599Ho9586dY9WqVWzbto2aNWu+8DVs2bIlBQoUoH79+uTPn59///2XefPm0a5dO4vfsru5uTF+/HimTJlC69at6dChA+fPn2fBggXUqlUr2R/4k6tSpUq0atWK4cOHY2tra/wQHv8D/CeffMKOHTto0KABQ4YMIUeOHCxatIiIiAiTZ3K1bNmSIkWK8NZbbzF69GisrKz48ccfcXNzS/IDriVjxoxh6dKltG7dmvfee4+cOXPy3XffUbRoUU6fPm3sV69ePXLnzk3fvn0ZPnw4mqaxdOnSF1p6GPfMqdWrV5MrV65kJ7bt2rUjR44c7Ny507j878iRI1y8eJFhw4aZ3cfDw4PXXnuNZcuWMXbsWPr06cMvv/zCyJEj8ff3p2HDhjx79oydO3cyZMgQOnbsaCw3//XXX3PhwgXj0r19+/bRpEkT47HefvttPvvsM95++21q1qzJ3r17CQgISPbr4OzsTKNGjfjiiy+IiorCw8OD7du3m50dnD59Otu3b8fLy4uBAwdSvnx5bt++zerVq9m/f7/JzGbcl0a7d+/m888/NxnH39+fJk2aMGnSpCSLXwwZMoTFixfTrl07Ro0ahbW1NbNnzyZ//vx88MEHJn3Lly+Pl5cXfn5+xm09evTA3d2dChUqEBISwo8//sjly5fZvHmz8ffT1dWVTp06JTh2XKJprm3Hjh3Ur1+fvHnzJhq/ENleutYyFEJkGX/88YcaMGCAKleunHJ0dFQ2NjaqVKlS6t1331V3795N0P/HH39U1atXV7a2tip37tzKy8tL7dixw9ieWAn3+MaMGaMANW/ePKWU+fLYd+7cUe3atVNOTk4JypabEzeGpZ8bN24opWLKUA8dOlQVLlxYWVtbqwIFCqhmzZqp7777zjiWwWBQ06dPV0WLFlW2traqevXq6vfff1d9+/ZVRYsWNfaLKzE9c+bMBPHElZS+f/++2Tjjn6slCxYsUMWLF1e2traqZs2aau/evQleY6ViSkh//vnnqmLFisZrU6NGDTVlyhQVHBxs0jel13DRokWqUaNGKm/evMrW1laVLFlSjR492mRcS+c0b948Va5cOWVtba3y58+v3nnnHfXo0SOTPpbKSD//WlsCqKFDhypfX19VunRp4/XavXt3gr7Hjx9XrVq1Uo6OjsrBwUE1adJEHTx4MEG/Y8eOqdq1aysbGxtVpEgRNXv2bIsl3Nu1a5dgf3PX6PTp08rLy0vZ2dkpDw8PNW3aNPXDDz8kGPPAgQOqTp06yt7eXrm7uxsfqwCYnFNi5bfjrFq1SgFq4MCBifZ7XocOHVSzZs2Mf3733XcVYFL+/nmTJ09WgDp16pRSKqZs+kcffaSKFy9u/D3r1q2byRjR0dFq5syZqly5csrGxka5ubmpNm3aqGPHjhn7hIaGqrfeeku5uLgoJycn1aNHD3Xv3j2LJdyf/31TSqmbN2+qzp07q1y5cikXFxfVvXt3Y4ny58usX7t2TfXp00e5ubkpW1tbVaJECTV06NAEj3RQKuYxEzqdTt28edNke3JLuMe5ceOG6tatm3J2dlaOjo6qffv26sKFCwn6mft78PPPP1flypVTdnZ2Knfu3KpDhw4JHpFhiaX30OPHj5WNjY36/vvvkzWOENmZplQG3D0shBBCiAyzYcMGOnXqxN69e03KzCdl3759NG7cmHPnzpktciFiVK9enTx58rBr166MDiVVzZkzhy+++IJLly4lWtRHCCH3ZAkhhBDZzuLFiylRogQNGjRI0X4NGzakZcuWJssoham//vqLkydP0qdPn4wOJVVFRUUxe/ZsJkyYIAmWEMkgM1lCCCFENrFixQpOnz7NjBkzmDt3rtmKcuLF/PPPPxw7doxZs2bx4MEDLl++bLbCphAie5DCF0IIIUQ20bt3bxwdHXnrrbcYMmRIRofzSlmzZg1Tp06lbNmyLF++XBIsIbI5mckSQgghhBBCiFQk92QJIYQQQgghRCqSJEsIIYQQQgghUpEkWUIIkUEmT56MpmkZHQaNGzemcePGL7xvpUqVUjcgIYQQIouTJEsIkaGuXr2Kpml8+eWXGR2KSEOBgYFMnjyZkydPpulxQkNDmT9/Pi1btqRgwYI4OTlRvXp1vv32W/R6fYKYfHx8KFu2LE5OTuTKlQtPT09+/vlnknO78tOnT5k0aRKtW7cmT548aJrGTz/9ZLavpmkWf1q0aJFqMZkTFBTEzJkzadSoEW5ubuTKlYs6deqwcuXKBH39/Pwsxnn48OFkHe/WrVv06NGDXLly4ezsTMeOHbl8+XKCft9++y3du3enSJEiaJpGv379LI75+PFjBg4ciJubGzlz5qRJkyYcP3482a9Bct2+fZtx48bRpEkTnJyc0DQNPz+/BP3i/t6y9PO///0vyWOl1fk/efKEMWPGULx4cWxtbfHw8KBbt26EhoYm92UQQqQCqS4ohBDZ3Pbt29P8GIGBgUyZMoVixYpRrVq1NDvO5cuXeffdd2nWrBkjR47E2dmZbdu2MWTIEA4fPszPP/9s7PvgwQNu3rxJt27dKFKkCFFRUezYsYN+/fpx/vx5pk+fnuixHjx4wNSpUylSpAhVq1Y1+2E8ztKlSxNs++uvv5g7dy4tW7ZMtZjMOXToEB999BFt27ZlwoQJ5MiRg7Vr19KrVy/Onj3LlClTEuwzfPhwatWqZbKtVKlSSR7r6dOnNGnShODgYD788EOsra356quv8PLy4uTJk+TNm9fY9/PPP+fJkyd4enpy+/Zti2MaDAbatWvHqVOnGD16NK6urixYsIDGjRtz7NixVH0o8vnz5/n8888pXbo0lStX5tChQ2b7ubm5mb2mW7duZdmyZSbX1JK0OP/g4GC8vLy4efMmAwcOpFSpUty/f599+/YRERGBg4NDMl4FIUSqUEIIkYGuXLmiADVz5swMjcNgMKjQ0NB0PeakSZNUVv9r2MvLS1WsWDHJfkePHlWAWrJkSZrGc//+ffXPP/8k2N6/f38FqAsXLiQ5Rvv27VXOnDlVdHR0ov3Cw8PV7du3lVIvdn5vvfWW0jRN3bhxI9ViMufy5cvq6tWrJtsMBoNq2rSpsrW1VU+fPjVu3717twLU6tWrU3wcpZT6/PPPFaD8/f2N2/79919lZWWlxo8fb9L36tWrymAwKKWUypkzp+rbt6/ZMVeuXJkgpnv37qlcuXKp3r17v1CcloSEhKigoCCllFKrV69WgNq9e3ey92/WrJlydnZWYWFhSfZNi/N/5513VK5cudTly5eTHbMQIm3IckEhRJYQERHBpEmTKFWqFLa2thQuXJgxY8YQERFh0m/JkiU0bdqUfPnyYWtrS4UKFfj2228TjFesWDHat2/Ptm3bqFmzJvb29ixatMi4XGrVqlV8+umnFCpUCDs7O5o1a8bFixcTjHPkyBFat26Ni4sLDg4OeHl5ceDAgQT99u/fT61atbCzs6NkyZIsWrQoWef99ddfY2VlxePHj43bZs2ahaZpjBw50rhNr9fj5OTE2LFjjdsMBgNz5syhYsWK2NnZkT9/fgYNGsSjR49MjmHunqxr167RoUMHcubMSb58+Xj//ffZtm2bxeVTZ8+epUmTJjg4OODh4cEXX3xhbPPz8zPOivTv39+4pCpuad2FCxfo2rUrBQoUwM7OjkKFCtGrVy+Cg4ONYzx48IBz584lueTJ1dWVihUrJtjeuXNnAP79999E94eY90ZoaCiRkZGJ9rO1taVAgQJJjmdOREQEa9euxcvLi0KFCqVaTOYUL16cokWLmmzTNI1OnToRERFhdikfxCw7i46OTtGx1qxZQ61atUxmwcqVK0ezZs1YtWqVSd+iRYsm657ENWvWkD9/frp06WLc5ubmRo8ePdiwYUOCvwNehpOTE3ny5HmhfW/fvs3u3bvp0qVLsp6Rldrn//jxY5YsWcLAgQMpXrw4kZGRqfraCCFSRpIsIUSmZzAY6NChA19++SXe3t588803dOrUia+++oqePXua9P32228pWrQoH374IbNmzaJw4cIMGTKE+fPnJxj3/Pnz9O7dmxYtWjB37lyTZWyfffYZv/32G6NGjWL8+PEcPnyYN954w2T/P//8k0aNGhESEsKkSZOYPn06jx8/pmnTpvj7+xv7/f3337Rs2ZJ79+4xefJk+vfvz6RJk/jtt9+SPPeGDRtiMBjYv3+/cdu+ffvQ6XTs27fPuO3EiRM8ffqURo0aGbcNGjSI0aNHU79+febOnUv//v1ZtmwZrVq1IioqyuIxnz17RtOmTdm5cyfDhw/no48+4uDBgyYJXHyPHj2idevWVK1alVmzZlGuXDnGjh3LH3/8AUD58uWZOnUqAAMHDmTp0qUsXbqURo0aERkZSatWrTh8+DDvvvsu8+fPZ+DAgVy+fNkksZw3bx7ly5c3eV1T4s6dO0BMEva8sLAwHjx4wNWrV/n5559ZsmQJdevWxd7e/oWOlRxbtmzh8ePHCd5T6RlTYq9J//79cXZ2xs7OjiZNmvDXX38lOZ7BYOD06dPUrFkzQZunpyeXLl3iyZMnKY7zxIkTvPbaa+h0ph9ZPD09CQ0NJSAgIMVjpoUVK1ZgMBgsXtMXldzz379/P+Hh4ZQqVYpu3brh4OCAvb099evXT/N7IYUQZmT0VJoQIntLznLBpUuXKp1Op/bt22eyfeHChQpQBw4cMG4zt+SvVatWqkSJEibbihYtqgC1detWk+1xy6XKly+vIiIijNvnzp2rAPX3338rpWKWW5UuXVq1atXKuOQn7vjFixdXLVq0MG7r1KmTsrOzU9euXTNuO3v2rLKyskpyuaBer1fOzs5qzJgxxuPmzZtXde/eXVlZWaknT54opZSaPXu20ul06tGjR0oppfbt26cAtWzZMpPxtm7dmmC7l5eX8vLyMv551qxZClDr1683bgsLC1PlypVLsHzKy8tLAeqXX34xbouIiFAFChRQXbt2NW6ztJzuxIkTyVqeFre0MiVLt+LHU6FCBVW8eHEVFRWVoH3GjBkKMP40a9ZMXb9+PUXHSOlywa5duypbW1vj9UqLmBITFBSk8uXLpxo2bGiy/cCBA6pr167qhx9+UBs2bFAzZsxQefPmVXZ2dur48eOJjnn//n0FqKlTpyZomz9/vgLUuXPnzO6b2HK5nDlzqgEDBiTYvnnzZrO/w6klpcsFa9SooQoWLKj0en2Kj5Ua5z979mwFqLx58ypPT0+1bNkytWDBApU/f36VO3duFRgYmOK4hBAvTmayhBCZ3urVqylfvjzlypXjwYMHxp+mTZsCsHv3bmPf+N/0BwcH8+DBA7y8vLh8+bLJ8jOIWUbVqlUrs8fs378/NjY2xj83bNgQwLi06uTJk1y4cIHXX3+doKAgY0zPnj2jWbNm7N27F4PBgF6vZ9u2bXTq1IkiRYoYxytfvrzFY8en0+moV68ee/fuBWKWuwUFBTFu3DiUUsYb8/ft20elSpXIlSuX8TVzcXGhRYsWJq9ZjRo1cHR0NHnNnrd161Y8PDzo0KGDcZudnZ3FimmOjo74+PgY/2xjY4Onp6fFZWjxubi4ALBt27ZElwJOnjwZpdQLlZofNmwYZ8+eZd68eeTIkbDeU+/evdmxYwe//vorr7/+OhAzk5RWQkJC2Lx5M23btjVer/SMKW625fHjx3zzzTcmbfXq1WPNmjUMGDCADh06MG7cOA4fPoymaYwfPz7RcePis7W1TdAWt3zuRc4hLCws1cdMbQEBARw7doxevXolmHF6Wck9/6dPnwIxS0F37drF66+/zjvvvMP69et59OiR2dl8IUTakeqCQohM78KFC/z777+4ubmZbb93757x/w8cOMCkSZM4dOhQgg/twcHBxg/1EJNkWRI/IQLInTs3gPF+pgsXLgDQt29fi2MEBwcTERFBWFiY2QpoZcuWZcuWLRb3j9OwYUMmT55MWFgY+/bto2DBgrz22mtUrVqVffv20aJFC/bv30+PHj2M+1y4cIHg4GDy5ctndsz4r9nzrl27RsmSJRPcL2KpulyhQoUS9M2dOzenT59O8tyKFy/OyJEjmT17NsuWLaNhw4Z06NABHx8fk2v1ombOnMnixYuZNm0abdu2NdunaNGixnuWevfuzcCBA2nevDnnz59PkyWDa9euJTw8PNFlZWkZ07vvvsvWrVv55ZdfqFq1apL9S5UqRceOHVm3bh16vR4rKyuz/eLiMncfUHh4uEmflLC3t0/VMSMjI3n48KHJNjc3N4vnlRzLli0DSPWlgpD884/7r7e3N46OjsZ+derUoXjx4hw8eDDVYxNCWCZJlhAi0zMYDFSuXJnZs2ebbS9cuDAAly5dolmzZpQrV47Zs2dTuHBhbGxs2LJlC1999RUGg8Fkv8Q+nFn6wKVin1UUN9bMmTMtliR3dHRMlRvPGzRoQFRUFIcOHWLfvn3GWbWGDRuyb98+zp07x/37943b4+LLly+f8cPf8ywlrC8iqdcqKbNmzaJfv35s2LCB7du3M3z4cGbMmMHhw4eTVRTCkp9++omxY8cyePBgJkyYkOz9unXrxuLFi9m7d2+yZhtTatmyZbi4uNC+fft0j2nKlCksWLCAzz77jDfffDPZ+xUuXJjIyEiePXuGs7Oz2T558uTB1tbWbDnyuG3u7u4pjrlgwYKpOubBgwdp0qSJybYrV65QrFixFMcW59dff6Vs2bLUqFHjhcewJLnnH/ff/PnzJ+ibL1++BAVvhBBpS5IsIUSmV7JkSU6dOkWzZs0Srca1adMmIiIi2Lhxo8lMVGJL414mJgBnZ2eaN29usZ+bmxv29vbGma/4zp8/n6xjeXp6YmNjw759+9i3bx+jR48GoFGjRixevJhdu3YZ/xw/vp07d1K/fv0Uf9NftGhRzp49i1LK5PU2V10xuZKqola5cmUqV67MhAkTOHjwIPXr12fhwoV88sknL3S8DRs28Pbbb9OlS5cUL5OKW371/PLS1BBXga5fv35ml4ClZUzz589n8uTJjBgxwmIRE0suX76MnZ2dyQzJ83Q6HZUrVzZbJOPIkSOUKFECJyenFMddrVo19u3bh8FgMFmKd+TIERwcHChTpkyKxqtatSo7duww2faiVSLj4rh48aKxuEtqS+75xyV4t27dSjBGYGAg5cqVS5P4hBDmyT1ZQohMr0ePHty6dYvFixcnaAsLC+PZs2fAfzMq8WdQgoODWbJkSarHVKNGDUqWLMmXX35pvBcivvv37xtjatWqFevXr+f69evG9n///Zdt27Yl61h2dnbUqlWL5cuXc/36dZOZrLCwML7++mtKlixJwYIFjfv06NEDvV7PtGnTEowXHR1tUrnvea1ateLWrVts3LjRuC08PNzs659cOXPmBEhw3JCQkARlwitXroxOpzOZBUxuCXeAvXv30qtXLxo1asSyZcss3iMTd42e98MPP6BpGq+99toLHT8xSVWgS0lMKbFy5UqGDx/OG2+8YXFG2NLxT506xcaNG2nZsqXJa3n9+nXOnTtn0rdbt24cPXrUJNE6f/48f/75J927d3+h2Lt168bdu3dZt26dcduDBw9YvXo13t7eKUpWIWYpa/PmzU1+klNy3ZJff/0VwHjv3PNCQ0M5d+4cDx48eKHxk3v+ZcuWpWrVqmzYsMHkWNu3b+fGjRu0aNHihY4vhHgxMpMlhMgUdu3aZbzHIL5OnTrx5ptvsmrVKgYPHszu3bupX78+er2ec+fOsWrVKuOzrlq2bImNjQ3e3t4MGjSIp0+fsnjxYvLly2d2uc3L0Ol0fP/997Rp04aKFSvSv39/PDw8uHXrFrt378bZ2ZlNmzYBMUu0tm7dSsOGDRkyZAjR0dF88803VKxYMVn3LUFMQvXZZ5/h4uJC5cqVgZglQGXLluX8+fP069fPpL+XlxeDBg1ixowZnDx5kpYtW2Jtbc2FCxdYvXo1c+fOpVu3bmaPNWjQIObNm0fv3r157733KFiwIMuWLTN+EE3Os32eV7JkSXLlysXChQtxcnIiZ86c1K5dm1OnTjFs2DC6d+9OmTJliI6OZunSpVhZWdG1a1fj/vPmzWPKlCns3r070eIXcc/30jSNbt26sXr1apP2KlWqUKVKFQA+/fRTDhw4QOvWrSlSpAgPHz5k7dq1HD16lHfffdfkHjRLx583bx6PHz8mMDAQiJlNvXnzJhBz79Pz95UtW7YMd3d3i+eQkpj8/Pxo0qQJkyZNYvLkyRZfE39/f/r06UPevHlp1qxZgiWk9erVo0SJEgD07NkTe3t76tWrR758+Th79izfffcdDg4OfPbZZyb79enThz179ph8qTFkyBAWL15Mu3btGDVqFNbW1syePZv8+fPzwQcfmOy/adMmTp06BUBUVBSnT582zlx26NDBeJ26detGnTp16N+/P2fPnsXV1ZUFCxag1+uZMmWKyZj9+vXj559/fqnlf3ExnDlzBoClS5caH6Hw/LJTvV7PypUrqVOnjnF2+3n+/v5mr1NanP9XX31FixYtaNCgAYMGDSI4OJjZs2dTpkwZ3nnnnRd6PYQQLygDKxsKIYSxhLuln6VLlyqllIqMjFSff/65qlixorK1tVW5c+dWNWrUUFOmTFHBwcHG8TZu3KiqVKmi7OzsVLFixdTnn3+ufvzxRwWoK1euGPsVLVpUtWvXLkE8cSXcny8pHhenuRLkXbp0UXnz5lW2traqaNGiqkePHmrXrl0m/fbs2aNq1KihbGxsVIkSJdTChQuNZcmTI65cc5s2bUy2v/322wpQP/zwg9n9vvvuO1WjRg1lb2+vnJycVOXKldWYMWNMyjk/X8JdKaUuX76s2rVrp+zt7ZWbm5v64IMP1Nq1axWgDh8+bLJvxYoVExy3b9++qmjRoibbNmzYoCpUqKBy5MhhfC0vX76sBgwYoEqWLKns7OxUnjx5VJMmTdTOnTtN9k1uCfe462fpZ9KkSca+27dvV+3bt1fu7u7K2tpaOTk5qfr166slS5aYlOVP7PhxjwIw9xP//aaUUufOnVOAGjlypMX4UxLTpk2bFKAWLlyY6GuyZMmSRF+T+O/puXPnKk9PT5UnTx6VI0cOVbBgQeXj46MuXLiQYNy48v3Pu3HjhurWrZtydnZWjo6Oqn379mb379u3b7JiUkqphw8fqrfeekvlzZtXOTg4KC8vL3X06NEEY3bt2lXZ29tbLI2fHIm9Vs+LeyTC119/bXG8uPdk/PeeUmlz/koptWPHDlWnTh3j79Obb76pbt++neLXQQjxcjSlknlnshBCiGxtzpw5vP/++9y8eRMPD4+MDifbGzNmDMuXL+fixYspXjL3qsqfPz99+vRh5syZGR2KECKbkyRLCCFEAmFhYSYFM8LDw6levTp6vZ6AgIAMjEzEqVWrFv/73/8YOHBgRoeSKZw5c4a6dety+fJlXF1dMzocIUQ2J0mWEEKIBNq0aUORIkWoVq0awcHB+Pr6cubMGZYtW2bxBn8hhBBCxJDCF0IIIRJo1aoV33//PcuWLUOv11OhQgVWrFhBz549Mzo0IYQQItOTmSwhhBBCCCGESEXynCwhhBBCCCGESEWSZAkhhBBCCCFEKpJ7spJgMBgIDAzEycnphR7AKYQQQgghhHg1KKV48uQJ7u7u6HSW56skyUpCYGAghQsXzugwhBBCCCGEEJnEjRs3KFSokMV2SbKS4OTkBMCPP97AwcE5g6MRQgghhBBCZJTQ0BAGDChszBEskSQrCXFLBB0cnCXJEkIIIYQQQiR5G5EUvhBCCCGEEEKIVCRJlhBCCCGEEEKkIkmyhBBCCCGEECIVyT1ZQgghhBBCZAoKnS4aTdMjTw5Kf0qBUlYYDDmAl7sAkmQl08qVULEieHpmdCRCCCGEEOJVo9NF4ux8G3v7UEmwMpBSEBbmQEhIQQwGmxceR5Ks5LodiN99ZwICwMcno4MRQgghhBCvDgOurldwdLQid253cuSw4WVnUsSLUERHR/Lo0X1sbK5w715pXvTuKkmykqknK/mHRgQElsHX14MyZWRWSwghhBBCvDwrq0hy5DDg6loYW1uHjA4nW7OxscfKyprw8GtYWUWi19u90DhS+CKZ2jR8xjT3hfjgC4G38PMDX1/w98/oyIQQQgghRFYWtzxQ01Lno7mmgU6HLDt8QXHX4WVeP5nJSq4aNaBhQ7z9/cHPF388CQgsg1+gByCzWkIIIYQQIuNoGlhbg61VFFa21sbt+ogoIvTWREXF3G8k0ockWSnl6Ym3J3j7LmRT4Gv444mfXxMCApAlhEIIIYQQIt3lyAE57aJj/rB2HaxZA48eQe7c6Lp1w75rV+xt4Fl4DqKjMzbW7EKWC74oHx+8Gz9lmvtCGrPbZAmhEEIIIYQQ6SFHDsjpYIDt29EKFULr1Ssmydq1C9asQevVC61QIdi+nZwOBnJk0BRL7twamzevz5iDZwBJsl6Gpyf4+Bjv1YpLtuReLSGEEEIIkdY0LXYGa+tWtA4d4O5d8x3v3o1p37qVnHbRqX6v1t27dxgz5l2qVStB/vy2VKxYmF69vNmzZ1fqHugFKaWYPv1jypUrSMGC9nTq1JxLly6k6TElyUoN8Wa1pDCGEEIIIYRID9axt15pAwaAXp94Z70e7a23TPZLDdevX6VJkxrs2/cnU6fO5MCBv1mzZisNGzZh9OihqXeglzB37hcsWvQ1s2cvZMeOIzg45KRr11aEh4en2TElyUotsbNa3o2fmsxq+flJoiWEEEIIIVKfrVUUrF1reQbreXfuwLp1Mfulkg8+GIKmaezc6U+HDl0pVaoM5ctXZOjQkezYcdjifpMmjaVmzTK4uztQrVoJPv10IlFR/8X199+n8PZuQuHCThQp4kzjxjU4ceIvAK5fv0avXt4UK5YbD4+c1K1bke3bt5g9jlKKhQvnMGrUBNq27UilSlX49ttfuHMnME2XL0rhi9QmhTGEEEIIIUQqyJUrqR7WMfdfpYC2Zg1WPXqQy9Z8++PHyR/r0aOH7Nq1lQkTPiVnzpwJ2l1cclnc18nJifnzf6JgQXfOnPmbESP+h6OjE++9NwaAgQPfoEqV6sya9S1WVlb8/fdJcuSImYIbPXooUVGRbN68l5w5c3Lu3Fly5nQ0e5xr165w9+4dGjduHi8uF2rUqM3Ro4fo2rVX8k84BSTJSis+Pnj7++MdsJCJgRjLvQcEgI9PRgcnhBBCCCFeCY8epW3/RFy+fBGlFGXKlEvxvqNGTTD+f5Eixbh4cRTr1q0wJlm3bl1n+PDRxrFLlixt7H/z5nU6dOhKxYqVAShWrITF49y9ewcAN7f8Jtvz5cvPvXt3Uhx3ckmSlZY8PcHTk2nxZrUCAsvg6+shs1pCCCGEECJRic0qaRq4uAC5c6ds0Nj+wcEv/9ws9RIDrFu3kkWLvubq1Us8e/aU6OhonJycje1Dhoxk+PC3WblyKV5ezenUqTvFi5cEYNCg4XzwwTv8+ed2Gjdujrd3VypVqvJyJ5PK5J6s9CCFMYQQQgghRCpSKuZBw6pbt5Tt161bzH6p8GDikiVLo2kaAQHnUrSfv/8hBg58gxYt2rJixe/s2XOCDz74iMjISGOfceMmc+jQGVq2bMe+fX9Sp04Ffv/9NwD69HmbEycu07Pnm5w9+zdNm9bku+++MXus/PkLAHD/vul9a/fu3SVfvgIpijslJMlKL1IYQwghhBBCpKIIvTV07Qr58yfdGaBAAejSJWa/VJA7dx6aNm3FDz/M59mzZwnag4Mfm93P3/8ghQsXZdSoj6hevSYlS5bmxo1rCfqVKlWGIUPeZ9267bRv34Vly5YY2woVKsyAAYNZunQdQ4d+wM8/LzZ7rKJFi5M/fwGTcvIhISEcO3aEWrXqpvCMk0+SrPTm6Yn3mAomz9aSWS0hhBBCCJFSccX41I8/gpVV4p2trFA//GCyX2r48sv56PV6mjf3ZOPGtVy6dIHz5/9l0aKvadnSfBJTokRpbt68ztq1K7hy5RKLFn1tnKUCCAsLY/ToYezf78f169c4fPgAJ04cpUyZ8gCMHz+CXbu2ce3aFU6dOs7+/bspW7a82WNpmsbgwSP48stP2LJlI2fO/M077/ShQAF32rXrlHovxHPknqyMIoUxhBBCCCHES1AKnoXnIGfr1qiNG2Oeg3XHTDGHAgViEqzWrXkWqkuVpYJxihUrgZ/fcWbN+pQJEz7g7t3buLq6UbVqDWbN+tbsPm3bduCdd95nzJhhREZG0KJFO0aPnshnn00GwMrKiocPgxg8uA/3798lb15X2rfvwvjxUwDQ6/WMHj2UwMCbODk506xZa6ZP/8pijO+9N4bQ0Ge8//5AgoMfU6dOA9as2YqdnV3qvRDP0dTL3LGWDYSEhODi4kLwihU4OzikzUF8ff8rjEEZcJfCGEIIIYQQ2UWOHOHky3eFwoWLY2OT8g/+OXJATrvomD+sW4e2Zk1MFcHcuWPu2erSBYhJyKKjUzPyV1NkZDg3blzh3r3iREebXo/Q0BB69XIhODgYZ2dnCyPITFbmEG9Wa1Pga/gG+hhntcqUMb+LJGBCCCGEEAIgOhpCnuXA2hpsO3bGqkcPY5shIoqIyBzEqykh0oEkWZlFbLl3b39/8PM1lnsPCEzYNRAP4y5CCCGESHtKKa5ePU1IyAPc3Irg7l466Z0yMb1ez6VLxwgLe4qHRxlcXQu90Di3bgXw4MENnJ3dKFasMpqmpXKkIrmUgshIiMQaLTymxLtSoFTqFLkQKZOlkqy9e/cyc+ZMjh07xu3bt/ntt9/o1KlTovv4+fkxcuRIzpw5Q+HChZkwYQL9+vVLl3hfiKcn3p7g7bvQbHPcskK/tVUICMgrywqFEEKINHb06O8sWTKemzf/MW4rW7YBAwfOpnTpWhkY2YvZtm0xy5d/wsOH12O3aNSo0Y5Bg+ZSoIDlh7rGd+7cYb7//gMCAg4atxUuXIUBAz6jRo02aRC1SImY5Cqjo8jeslR1wWfPnlG1alXmz5+frP5XrlyhXbt2NGnShJMnTzJixAjefvtttm3blsaRpgIfH7M/cc/bil8C3tc3o4MVQgghXk37969m2rQO3LrlDmwDLgGruXAhlHHjGhMQkLVKA69Z8xnz5w/k4cOGwH7gIrCYEyfOMGpUfe7fv57ECHDu3CE+/LAJFy9GAmuIeU3+4OZNN6ZObc/hw+vT8hSEyBKybOELTdOSnMkaO3Ysmzdv5p9//vvmqVevXjx+/JitW7cm6zjpUvjiRfj7s8nPUYplCCGEEGkkOjqKfv2KEBJSH1iF6XfTYeh0DSld2p6ZM/dlUIQp8+jRHfr3L4LBMBL47LnWe+h01WnatDXDh/+Q6Djvv1+by5dBqT1A/KIAeqALuXMf58cfr2BllaUWTGWoly18IVJXahS+yFIzWSl16NAhmjdvbrKtVatWHDp0KIMiSkWensZZLR984e/T8rwtIYQQIhUdO/YHISF3gMkk/Mhkj8EwjvPn93Pz5vn0D+4F+Pn5olQOYJyZ1nwYDEPx8/uViIhQi2Ncu/YPly75o9SHmCZYAFbAJB49usnJkztSL3AhsqBXOsm6c+cO+Z97Anb+/PkJCQkhLCzM7D4RERGEhISY/GRanp7GJYQrK39qsoRQEi0hhBDi5dy/fw1NswUqWehR09gvK7h37xo6XSkgl4UeNYmODic4+L7FMf5bTljTQo/qgMa9e1njNXlVaRrodDH/FRnjlU6yXsSMGTNwcXEx/hQuXDijQ0pabLIVN6vVmN34rQ2SWS0hhBDiJTg7u6FUBGDpPqWLxn5ZgbOzK0rdAMIt9LiIpulwdMyd6BgxLljocQVQ8fqJ9KJpYGMD9vbg4gLOzjH/tbeP2S4JV/p6pZOsAgUKcPfuXZNtd+/exdnZGXt7e7P7jB8/nuDgYOPPjRs30iPU1CGFMYQQQohUU6tWe2xtnYBZZloNaNos3N0rUKJEtXSO7MV4eb2OwfAYMHfPVRg63Txq1eqAg4Pl+0xKlapJ/vyliXlNzN3W/yX29rmoWbNtqsQskidHDsiZMyaZWr8euneH5s1j/rt+fcz2nDlj+on08UonWXXr1mXXrl0m23bs2EHdunUt7mNra4uzs7PJT5YSN6vV9ZRxVovAWzKrJYQQQqSQvb0jvXtPBL4GRgBxX7yeBXqh1Fb69ZueZZ4N5e5emhYt3kbTRgDTgSBiEqVDaFobrKyu0rv3x4mOodPp6N9/BvA78DpwLrblOjAM+JbXX5+ErW0mKhb2isuRAxwcYPt2KFQIevWCNWtg166Y//bqFbN9+/aYfhmVaOXOrbF58/qMOXgGyFJJ1tOnTzl58iQnT54EYkq0nzx5kuvXY6bxx48fT58+fYz9Bw8ezOXLlxkzZgznzp1jwYIFrFq1ivfffz8jwk9fUhhDCCGEeGmdO4+iX78vsLX9ESiCptkDFXFy2suoUcupU6djRoeYIkOGfEv79kOxspoCuMWeTz1cXW8yZcpWSpasnuQY9ep1ZeRIXxwddwHlY8coiq3tUt56azYdOryXxmch4mga2NnB1q3QoQM8t4DL6O7dmPatW2P6p/b3Anfv3mHMmHepVq0E+fPbUrFiYXr18mbPnl1J75wONm1aR5cuLSlRIi+5c2v8/ffJND9mlirh7ufnR5MmTRJs79u3Lz/99BP9+vXj6tWr+Pn5mezz/vvvc/bsWQoVKsTEiRNT9DDiTFvCPSX8/SEggImBgwmgDIF40LixlHsXQgghkis09AlHj24iOPg++fIVpUaNtlhb22R0WC8sOPg+R4/+TljYEwoVKk/Vqs3Q6VL23XtUVAR//bWF+/ev4+KSj9q1O2BnlzONIn61vWgJdxubmJ9ChSwnWPEVKAA3bkBkZMxParh+/SqtW9fHxSUX48dPpUKFykRFRfHnn9v4+efv8PePme3MnVvD1/c32rXrlDoHToEVK5Zy/foVChRw5733/sfevSeoXLmaxf6pUcI9SyVZGeGVSLLi+PqyKfA1/PHEL6gK7pXzyrO1hBBCCCEy2IsmWfb2Mfdc9eqV/GOtXAkdO4KFQtsp1r17W86ePY2//3ly5jRNsoODH+PikgtImGRNmjSWzZt/IzDwJvnyFaB79zcYM+ZjrK2tAfj771N8+OEITp78C03TKFGiNF99tYjq1Wty/fo1xowZxuHD+4mKiqRIkWJMmTKTli0Tvxfw+vWrVK1aPF2SLLn9LTvx8cHb3x/vgIVs4jV8A33wC/QgIAB8fDI6OCGEEEIIEV+uXEn3WbMmZWOuWQM9eoCtrfn2x4+TP9ajRw/ZtWsrEyZ8miDBAowJljlOTk7Mn/8TBQu6c+bM34wY8T8cHZ14770xAAwc+AZVqlRn1qxvsbKy4u+/T5IjR0wCNnr0UKKiItm8eS85c+bk3Lmz5MzpmPzA04EkWdmNp2fM/Vr+/uDniz+eBASWwdfXQ2a1hBBCCCGymEeP0rZ/Yi5fvohSijJlyqV431GjJhj/v0iRYly8OIp161YYk6xbt64zfPho49glS5Y29r958zodOnSlYsXKABQrVuJlTiNNSJKVXXl64k3srFbga/j+3Qa/wCoEBCDJlhBCCCFEJpDYrJKmxTwHK7flx5qZFdc/OBhe9qahl7nraN26lSxa9DVXr17i2bOnREdH4+T03/K7IUNGMnz426xcuRQvr+Z06tSd4sVLAjBo0HA++OAd/vxzO40bN8fbuyuVKlV5uZNJZVmquqBIZbHl3r0bP2Vl5U9Nnq0lFQiFEEIIITIvpSAiArp1S9l+3brF7JcaVRlKliyNpmkEBJxLunM8/v6HGDjwDVq0aMuKFb+zZ88JPvjgIyLjVeMYN24yhw6doWXLduzb9yd16lTg999/A6BPn7c5ceIyPXu+ydmzf9O0aU2+++6blz+hVCRJlvjv2Vqx5d4bsxu/tUFS7l0IIYQQIhPT66FrV8ifP3n9CxSALl1i9ksNuXPnoWnTVvzww3yePXuWoD04+LHZ/fz9D1K4cFFGjfqI6tVrUrJkaW7cuJagX6lSZRgy5H3WrdtO+/ZdWLZsibGtUKHCDBgwmKVL1zF06Af8/PPi1DmpVCJJlvhP7KzWNPeFjMn7vXFWy9c3owMTQgghhBDPi4qK+e+PP4KVVeJ9razghx9M90sNX345H71eT/PmnmzcuJZLly5w/vy/LFr0NS1b1jW7T4kSpbl58zpr167gypVLLFr0tXGWCiAsLIzRo4exf78f169f4/DhA5w4cZQyZcoDMH78CHbt2sa1a1c4deo4+/fvpmzZ8hZjfPToIX//fZJz584CcOHCef7++yR3795JvRfiOZJkCVPxlhDGzWoReEtmtYQQQgghMhmlIDwcWreGjRtjZqrMKVAgpr1165j+qfkAp2LFSuDnd5wGDZowYcIH1KtXiS5dWrBnzy5mzfrW7D5t23bgnXfeZ8yYYTRqVI0jRw4yevREY7uVlRUPHwYxeHAfatUqw4ABPWjevA3jx08BQK/XM3r0UGrXLk+3bq0pWbIMX365wGKMf/yxkUaNqtOzZzsA3nqrF40aVWfJkoWp90I8R56TlYRX6jlZKRX7EONNga/hG9SGwLxVcHeXwhhCCCGEEKnpRZ+T9d/+YBe727p1MWXaHz2KKXLRrVvMEkGISbCio1Mx8FeUPCdLpK145d69Az5lYuBgAgLL4BfoYWwWQgghhBAZKzoanj0Da+uYBw336PFfW0QEREbG/Ij0I0mWSFpssjXNN6bcuz+e+K2tQkBAXpnVEkIIIYTIBJT6L5EKD48p8a5U6i4NFMkn92SJ5JPCGEIIIYQQmZ5SYDBIgpWRJMkSKSOFMYQQQgghhEiUJFnixXh6Gme1fPCFv08bZ7Uk2RJCCCGESL64GSepR5c5xF2Hl7kckmSJFxdvVmtl5U+Ns1p+fpJoCSGEEEIkl8FgjcEAkZGhGR2KIOY6GAwx1+VFSeEL8fKkMIYQQgghxAtTyoqnT3Px4ME9AGxsHNA0LYOjyn6UUkRGhvLgwT2ePs2FUkk84TkRkmSJ1OPjE1vufSGbeA3fQB/8Aj0ICAAfn4wOTgghMrebN8+xbdtibt48h729I/XqdaVOnc7kyPHi36QKePz4HkuWjObkyR0YDHoKFSpH//5fUqZMrYwOTQgTT5/GPEk4OvoeOllrlmEMBnj6NJfxerwoeRhxErL1w4hfhr8/m/wc8ceTAMqAu4fMagkhhAUrV37CsmUT0elcMRjqo9PdxmDwp3DhykydupW8ed0zOsQs6dCh3/jss14oFQU0AJyBP4FwWrUayNChCzM2QCHM0DQ9Ol0UMpGV/mKqMlonOoOV3IcRS5KVBEmyXoK/PwQEsCnwNXyD2hCYtwru7kiyJYQQ8ezZs5xZs14HPgY+BGxjW46h03WkWDF3vvrqiCwdSqHHj+/Rt29hlCoNbABKxraEAO8BPzN06EJatRqYYTEKIbKe5CZZMhkp0o4UxhBCiEQppViz5gs0rQ0whf8SLIAaGAw/cfnyUf75Z08GRZh1LVkyOnYGK36CBTGzWd8DpVi+fFqGxCaEePVJkiXSXmyyFVfuvTG78VsbJOXehRDZ3uPHd7l27SRK9bPQoxlWVh789deW9AzrlXDq1E6gPqYJVhwroD8PHwamb1BCiGxDkiyRfmJntaa5L2RM3u+Ns1q+vhkdmBBCZIzo6MjY/3Oy0EMDHOP1E8ml1+uJmbWyxBGQOyaEEGlDkiyRvuItIYyb1SLwlsxqCSGypTx53HF2LgBsstDjPHr9eUqVqpmeYb0SChUqB+wm5h4sczZga5tYEiaEEC9OkiyRMTw9jbNaPvjC36eNs1qSbAkhsgsrqxy0bTsITfsR8HuuNRRNG4qTUz7q1++WAdFlbW+99SUQDrwL6J9r9QV20bTp6+kelxAie5AkS2QcKYwhhBB07z6eSpUaomnNgW7AfGACOl0ZrK0PM27cSmxs7DI4yqynVKmatGkzGFgKlAU+Bb4GmgFvUqBAaQYNmpeRIQohXmFSwj0JUsI9Hfn6sinwNfzxxC+oCu6V80q5dyFEthAVFcn27YvZvHkRgYH/YmvrSMOG3ejU6YPYZW/iRe3Y8QO//jqFoKBAwICtrTNNm77OoEHz0MkTX4UQKSTPyUolkmSls/jP1sKHQDxwdwcfn4wOTAghhBBCZHfynCyRNUlhDCGEEEIIkcVJkiUyJymMIYQQQgghsqgcGR2AEBZ5esYkW/7+eAd8ysTAwQQElsEv0CPRXYQQQgghhMhIkmSJzC822Zrmu9BYGCPArwy4J0y2AgKQYhlCCCGEECJDSZIlsg4fn9hZrZhkCxImWb6BTfAL9JBkSwghhBBCZBhJskTWEm8JIZxP2B54K2amK96yQkm0hBBCCCFEepIkS2RNFjInb0/wjres0M+vicxqCSGEEEKIdCXVBcWrJ7YE/DT3hcYS8HGVCYUQQgghhEhrkmSJV1Ps87biSsDL87aEEEIIIUR6kSRLvNrizWr54GsyqyXJlhBCCCGESAtyT5Z49cUvluHnK4UxhBBCCCFEmpIkS2Qfnp5SGEMIIYQQQqQ5WS4osh8pjCGEEEIIIdKQJFkie5LCGEIIIYQQIo1IkiWyNymMIYQQQgghUpnckyWEFMYQQmQSYWFPCQq6iZ2dI66uhV5oDL1ez927VwBF/vzFsbJ6sX/qg4JuERb2hLx5C2Fv7/hCYzx9+ohHj+7g5JSXXLnyvdAYmcnjx/d48iSI3LkL4uiYK8Pi0OujY6+xFnuNrTIsllftGou0ERkZzr1717C2tiVfvqJompbRIaU5SbKEiCOFMYQQGSQ4+D6+vhP4809foqJCAShVqja9e0+kVq12yRpDr9ezYcNsNmz4hkePbgCQO3chOnR4l06dPkj2B/G//trCr79O4+LFwwBYWzvQpMkb+Ph8kuwP0YGBF1i6dAKHDq3DYIgGoGrVVvj4TKFs2drJGiMzOX/+CL6+H3Pq1HYAdLoc1KvXFR+fT3B3L5Vucej10axfP4sNG77h8eNbAOTJU4SOHd+lQ4f30zXZunUrgF9++YjDh39DKT0A1aq15s03p1G6dM10i0NkbmFhT1m+fDLbtv1AWNhjAAoVqkSPHuNo3PiNjA0ujWlKKZXRQWRmISEhuLi4ELxiBc4ODhkdjkgv/v4QEMDEwMEEUIZAPHB3Bx+fjA5MCPGqCQl5wAcf1OP+/YcYDMOBxsAdNO1blPJj+PAfad68f6JjKKWYNetN9u5dDvQDesa2rELTfqJ+/e6MGrUMnS7xuwT+/PMX5szph6Y1Qql3AHfAD53ua1xdc/HllweSTLRu3jzH6NENCAtzwmAYAbwGXECn+xpNO8eUKX9QpUqTJF+XzOLUqT+ZPLktSpXDYHgPKAUcR6ebg739E2bO3E+hQuXSPA6DwcCXX77BgQOrUao/0ANQwErgJ7y8XmfkyF/SZYbg+vWzjBnTkPBwl9hrXB0IQKebi053galTt1GpUqM0j0NkbuHhz/jww2ZcvnwGg2EI0AYIRtN+RKmN+Ph8So8eH2Z0mCkWGhpCr14uBAcH4+zsbLGfJFlJkCQrm/P1Nc5qBVAG3D1kVksIkaoWLhzG1q3LMRj8gZLxWhTwNtbWK/j551uJLk87enQz06a1B5YDvZ5rXQ304KOPNlC7dgeLYzx7Fkzfvh5ERnYDfsT0tu3L6HSetGzZnSFDvk30fCZMaMk//1zHYDgE5I7XEoGmtcHV9RqLF19IMuHLDPR6Pf/7X2mCgoqj1BbANl7rQ3S6ulSuXIxp07aleSyHD29g+vROxFzPbs+1Lgde5+OPN1OzZts0j2X8+Kb8++8dDIaDQK54LeFoWivy5bvNokXnssQ1Fmln9eoZ+PpOQakDQI3nWicCn7Jo0QUKFixpZu/MK7lJlrz7hUiMFMYQQqShyMhwdu36JfZb3uc/aGjAp0RHR7Jnz7JEx9m69Tt0upokTLAAuqPTebJ16+JEx9iz51eioiKA6ST8eFACg2Eof/7pS0REqMUx7ty5wunTOzAYJmCaYAHYotR07t+/zKlTuxKNJbM4fXoXDx5cQakZmCZYAHkwGD7i1Knt3L17Nc1j+eOP79DpapMwwQLohU73Gn/88V2axxEYeIEzZ3ZjMEzENMECsEOpT7l79wL//LMnzWMRmduWLd+h1OskTLAAxqPT5WLHjh/SO6x0I0mWEEmJLffu3fipSbl3Pz9JtIQQL+fRoztERDwBGlroUQArq7IEBgYkOs716+cxGCyNAQZDI27cSHyMwMAAdLpSxCwRNKcRkZFPefTojsUxbt++EPt/lmKpjaZZJ3k+mcWtWwFomg1Qy0KPmCVxgYEXLLSnnps3AxK5xhoGQyNu3kz71/W/c7UUS31AyzLXWKSN6OgogoKuYvl94oBStV7p94kkWUIkl6cn3mMqmDxbS2a1hBAvw8EhbqnJLQs9ojAY7mBvb3lJCoCjo0siYwDcJGfOxMdwcHBBqXtApMUxAOztnRIdI4alWO6hVFS8887cHBycUSoSuG+hx01jv7SWM2fS1zg94kj6Gt8GVJLvWfFqs7LKgbW1PZbfJwqd7uYr/T6RJEuIlIq3hDD+rJavb0YHJoTIapyc8lC5cjN0ugVAtJkeKzEYgmjQoEei4zRq1ANNWw/cMNN6E037DS+vxMeoX78bBsNDYu7veZ4enW4BFSs2wcXFzeIYpUrVJG/eosA3FnrMx9ranlq12icaS2ZRq1Z7cuSwA+Zb6DEPV9filCqV9tX0vLy6o2nrMP+h9TqatiHJa5waypatTe7chbB8jedhbe2QLveGicxL0zQaNOiOTvc9YG6JsR96/dkk/27LyiTJEuJFxC4hjD+rReAtmdUSQqRY794TUeoE0Bu4Ers1AvgJnW4Qdep0pVixyomO0aLFAHLlyo9O1wLYR0zRDAXsR6drSa5cbrRo8VaiYxQtWom6dbuj0w0hpvBFRGzLFeB1lPqL3r0nJjqGlZUVb7wxCVgBjADuxbaEAJ8Dn9Kx4wgcHZ+/XytzcnLKQ8eO7wGfAF8AT2Jb7gHvASt5442P06V0eosWb+Pi4opO1xI4wH/XeC86XUty5y5I8+YD0jwOK6scvP76x8AyYCT/zfKFEHM/32d06fJB7MybyM66dh2DldV9NM0bOBO7NRpYh07Xg9Kl61K9essMjDBtSXXBJEh1QZGk2HLvmwJfwxcfY7l3qUIohEiugwfXMnfu24SFBWNlVRylgjAYgqlXrwfvv78EW9uk//0JDLzAtGmduXXrDFZWBQENvT4Qd/cKTJz4Gx4eZZIcIyIijDlz+nPgwEp0Omc0zRW9/gp2ds6899731K9vruhCQhs2fMXPP3+IXq/HyqoIBsNtlArH2/s9+vefmaEPz00pvV7Pjz+O4vffv0bT7NDpCqLXX8fKyoq+fWfQseOIdIvl5s3zfPJJZwID/8XKyh1Q6PW3KVSoEhMmrMPdvXS6xfLbb7NYuvQj9HqFlVVh9PpAIJJOnd6nb9/PpbKgAOCff/bw2We9CAm5g5VVMZR6gsEQROXKzRk7dgXOznkzOsQUkxLuqUSSLJFs/v5s8nM0lnsPxIPGjSXREkIkT3j4Mw4cWM3Nm+ews3OkXr2uFC5cPkVjGAwGTp3axZkzMZXdKlZsRNWqzVP8gffmzXMcPLiWsLAnFCpUjvr1u2NnlzNFYzx58pC9e5dz//51XFzcaNiwF66uhVI0RmZy//4N9u9fSXDwfdzcitCoUW+cnPKkexwx13gn//yzB03TqFSpMVWqNM2QpCYkJIi9e5fz4MENXFzy0ahRL/Lm9Uj3OETmFhUVyZEj67l06QQ2NnbUqtWeUqXMVRzMGiTJSiWSZIkUi/dsLT+ayKyWEEIIIcQr4pV9Ttb8+fMpVqwYdnZ21K5dG/8kboCZM2cOZcuWxd7ensKFC/P+++8THh6eTtGKbEkKYwghhBBCZGtZKslauXIlI0eOZNKkSRw/fpyqVavSqlUr7t27Z7b/r7/+yrhx45g0aRL//vsvP/zwAytXruTDDz9M58hFtiOFMYQQQgghsq0stVywdu3a1KpVi3nz5gEx65ILFy7Mu+++y7hx4xL0HzZsGP/++y+7dv33ZPkPPviAI0eOsH///mQdU5YLipcmhTGEEEIIIV4Jr9xywcjISI4dO0bz5s2N23Q6Hc2bN+fQoUNm96lXrx7Hjh0zLim8fPkyW7ZsoW1by89uiIiIICQkxORHiJcSO6vl3fipyayWn5/MagkhhBBCvIpyZHQAyfXgwQP0ej358+c32Z4/f37OnTtndp/XX3+dBw8e0KBBA5RSREdHM3jw4ESXC86YMYMpU6akauxCAODpibcnePsu/K8whl8TAgJkVksIIYQQ4lWSZWayXoSfnx/Tp09nwYIFHD9+nHXr1rF582amTZtmcZ/x48cTHBxs/Llx40Y6RiyyBSmMIYQQQgjxSssyM1murq5YWVlx9+5dk+13796lQIECZveZOHEib775Jm+//TYAlStX5tmzZwwcOJCPPvrI7DMlbG1tsbW1Tf0TECI+T0/w9GRavFmtgMAy+Pp6yKyWEEIIIUQWl2VmsmxsbKhRo4ZJEQuDwcCuXbuoW7eu2X1CQ0MTJFJxT5nPQvU+xKss3qyWD74ms1pyv5YQQgghRNaUZWayAEaOHEnfvn2pWbMmnp6ezJkzh2fPntG/f38A+vTpg4eHBzNmzADA29ub2bNnU716dWrXrs3FixeZOHEi3t7exmRLiAwXO6vl7e8Pfr7GWS2/QA9jsxBCCCGEyDqyVJLVs2dP7t+/z8cff8ydO3eoVq0aW7duNRbDuH79usnM1YQJE9A0jQkTJnDr1i3c3Nzw9vbm008/zahTEMIyKYwhhBBCCPFKyFLPycoI8pwskSFin6018e/uBOSta3y2lo9PRgcmhBBCCJF9vXLPyRIiW4l9tta0yqtNnq0l92oJIYQQQmR+kmQJkZlJYQwhhBBCiCwnS92TJUS2JIUxhBBCCCGyFEmyhMgqpDCGEEIIIUSWIEmWEFmNjw/e/v54Byxk4t9BBFAXv0APAgKkMIYQQjzPYDBw/PhW/vprC9HRkZQqVQMvrzewt3dM91iCg+/z558/c+vWeeztnahXrxvlytVF07R0j0W82pRSnD27n4MH1xIR8YzChSvQpEkfnJ3zZnRo2YZUF0yCVBcUmZqvr3FWK4Ay4O4hs1pCCBHr/v3rTJ7szY0bp7GyKg04odefxN7emTFjllOjRut0i2Xr1u/47rvh6PUaOl1l4DZ6/U2qVGnB+PGryZnTJd1iEa+2J08e8sknXfj33z1YWRUB8mEwnMbKSsfQoQtp1qxvRoeYpSW3uqAkWUmQJEtkerHl3jcFvoYvPsZy7+ZIAiaEyC6ioiIYNqwad++GYzAsA+oCGnAdTRuCldUuZs/2p1ixymkei7//Jj75pAMwGPgEyAsYgE3odH2pWrU+U6ZsTvM4xKtPKcWHHzbj339PYzD8ArQmps7dfWAcsIQpU7ZRvXqLDI0zK5MS7kJkF7Hl3r0bPzWWey9DQIKfuMqEUpVQCJEdHDy4jtu3z2EwrAfqEZNgARRBqbUYDPlZv352usSyYsV0NK0xsICYBAtiPoJ1xGD4jhMntnDp0ol0iUW82s6dO8SZM7sxGH4C2vLfR303YDE6XR1WrZqRYfFlJ3JPlhCviniFMczZRGyxjLVVCAjIK7NaQohX2pEj69G0OihV1UyrLQZDPw4c+IoRI5akaRyPHt3h4sXDwHL+S/Ti64JO58rhw79RsmT1NI1FvPoOH16PlZU7en1bM606DIb/cebMAJ4+fYSjY+50jy87kSRLiFeNheoXccUyNvEavoE+UixDCPFKCw9/hlJuifTIR1RUaLrEEcNSLDnQtDxERKR9LOLVFxHxDHDF8mK1fLH9wiTJSmOyXFCI7MLMskICb8mDjYUQr6QiRSqi0+0Hwsy2a9oOChWqmOZx5M3rgZ2dC7DTQo8r6PUXKFIk7WMRr74iRSqi158BAi302EHOnK64uCT2BYRIDZJkCZHdeHri3fgp09wX4oMv/H0aPz8k2RJCvFJatRqIwfAYmAQ8X+NrO0ptpF27wWkeh42NHS1b9ken+xY481xrFJo2Cnt7Fxo06JHmsYhXn5fXG9jY2AGjAP1zrSfR6b6ndeu3yZHDOgOiy14kyRIiO4o3q7Wy8qfGWS0pjCGEeFUULFiSAQO+BGaiaU2An4C1QD80rT2vvdaGFi3eSpdYevWahIdHUXS6usAIYD2wAJ2uJpq2kfffX4KdXc50iUW82nLmdGHEiB/RtFXodJ7AQmLeb8PQ6RpQrFh5unf/MGODzCakhHsSpIS7yBbiPW/LL6gK7pWlMIYQ4tVw5MhG1qyZyfnz+wHIm7cY7du/Q8eO76frt/nPngWzZs1nbN36Pc+ePQA0atRoR48e4ylfvl66xSGyh3/+2cuqVTM4eXIboHByykebNv+jS5exODg4ZXR4WZo8JyuVSJIlsg0Lz9uSwhhCiFdBaGgI0dGRODrmQafLuIU8er2ep08fYmeXE1tb+Vwh0lZ4+DMiIkJxdMyDlZVVRofzSpAkK5VIkiWyHX9/Nvk54o8nAZQBdw+Z1RJCCCGEQB5GLIR4UVIYQwghhBDipUiSJYRISApjCCGEEEK8MHkYsRDCMk9P8PRkmu/C/wpjrK1CQIAUxhBCCCGEsERmsoQQSYud1ZrmvpAxeb83zmr5+mZ0YEIIIYQQmY8kWUKI5Im3hNAHX+MSQrlXSwghhBDClCRZQoiUkcIYQgghhBCJkiRLCJFyUhhDCCGEEMIiKXwhhHhxUhhDCCGEECIBmckSQrw8KYwhhBBCCGEkSZYQInVIYQwhhBBCCECSLCFEapPCGEIIIYTI5iTJEkKkPimMIYQQQohsTApfCCHSjhTGEEIIIUQ2JDNZQoi0J4UxhBBCCJGNSJIlhEgfUhhDiGzHYDDw7Fkwen30C4+hlCI09AmRkeEvFUtkZDihoU9QSr3wGHp9NM+eBWMwGF4qltQQERFKRERoRoch0pBc46xNlgsKIdKXpyfe+OMdELOE0PfvNvgFViEgAFlCKMQr4tGju6xd+xk7dvxMWNgjrK3tadSoF927j8fdvXSyxtDro9myZQEbN87n7t0AACpXbkbXrqN57bVWyY7l+PFtrF07k7//3gVA/vxl6NBhKG3bDsHKKnkfg27dCmDNms/Yu3cFUVFh2NvnpmXLfnTpMpbcufMnO5aXpZTCz8+X9evncuXKMQBKlKhF584jaNSoN5qmpVssIm0opfjzz19Yv34u166dAKBkSU86d36fhg17yjXOQjT1Ml/pZAMhISG4uLgQvGIFzg4OGR2OEK8Wf38ICGBi4GACKEMgHjRuLImWEFnZgwc3GT26AY8ePcFgeBt4DbiATrcIW9unTJ/+JyVLVk90DL0+mhkzunP06CaU6gG0B56g0/2EwXCYwYPn07btkCRj2bx5PosWDUOnq4PB0A9wAjahaavx9OzAuHGrkky0Ll06zvjxTYmMdMZgGASUAo6j031P7tzOzJy5D1fXQsl5aV6KUorvv3+fTZvmomltY18XhaatRKmtdO48iv79Z6Z5HCLtKKVYtOhdtmyZj6a1Q6nugAFNW4FS2+nadRx9+87I6DCzvdDQEHr1ciE4OBhnZ2eL/STJSoIkWUKkA1/f/wpjBFXBvbIUxhAiq/r00y4cPXoUg+EgUDheSzA6XTPc3SOYP/90ot/Ib936HQsWvANsBNrFa1HACDRtHt99d4n8+YtZHOPOnSsMGlQKpd4FvgLiH+93oAPDhn1Hy5ZvWxxDKcWQIZW5fdseg2EXEP8D1XV0uvp4enry4YdrLY6RWk6d2sXEic2B+cDzCeZcYATTp++hUqVGaR6LSBvHj29j8uTWwEJg0HOts4BRfPbZfipUqJ/+wQmj5CZZck+WECLjSWEMIV4JQUG38PffgMEwAdMEC8AFg+Fzbt78h7Nn9yc6zu+/f4umeWOaYEFMojQdTXNi+/bFiY6xfftiNM0JmI5pggXQHk1rz6ZNCxId4+zZ/dy6dQaD4QtMEyyAIhgMH3LkyAaCggITHSc1bN78LTpdJeAdM63D0enKsmVL4ucjMreYa1wNGGim9X2srEqxZcu36RyVeFGSZAkhMgcLhTG++EIKYwiRVVy/fhalDEBLCz2aAjm4du1vi2Mopbhx4zRKWRojJwZDQ65etTwGwNWrpzEYGgHmV6Eo1YobN5IeQ9OsgcYWerRCKT03bpxNdJzUcPnyaQyGViRMGAE0DIZWXLqU+PmIzC3mGrfE/DXWode34vJlucZZhSRZQojMxdPTOKvlgy/uQaeNs1qSbAmRudna2sf+30MLPYKBaGxs7C20g6ZpWFvbJzIGaNqDeMcyz8bGHp0uKJEeQbHHSXwMpaJj4zY/Rly/tBZzvomfT1KvicjcYq6f5fc9JP2+F5mHJFlCiMwn3qzWysqfGme1/Pwk0RIiMytd2hMnp/yApaV8P6DTWVOjRptEx6lTpyNWVj8BkWZa/0Gpw9Su3THRMWrX7hh7X9gZM62R6HQ/U6dO4mPUqNEGnc4K+NFCj+9xdi5AmTJpfwNpvXod0enWAI/MtD5Ap/uNevUSPx+RucVc41WYT+rvoWkb5BpnIZJkCSEyr9hkK25WqzG78VsbJLNaQmRS1tY2dOs2GlgEzATinm0VDfiiaR/RvPkAcucukOg4nTuPQqnrQG/gTryWY+h0ncmfvzT16nVNdIz69buRL18pdLpOwPF4LbfRtN5o2k06d/4g0THy5ClI8+YD0LQPgWWAPrYlHPgC+I5u3UaTI4d1ouOkhtatB2Nra41O5w1cjtdyEZ2uPfb29rRqZe5eHpFVtG07BBsbLfYaX4nXEoBO1x4HB8dEC7WIzEWSLCFE5ieFMYTIMjp1GkmnTh8AY9DpPNDpGmFlVQx4k7p1OzJo0NwkxyhZsjrjxq3GxmYbmlYYna4eVlaVgZrkz5+DadO2YW1tm+gYNjZ2fPLJNvLnzwHUwMqqMjpdPTStCNbW2xk3bjUlSlRLMpZBg76mbt0OgA9WVkXR6Rqh03kAY+nceRQdO76f5BipIW9ed6ZO/YOcOS8ApdDpamFlVRMojaPjNaZO3Zquz+wSqc/VtRBTp/6Bg8M5oCQ6nWfsNS6Lk9MtPvlkGy4ubhkdpkgmKeGeBCnhLkQm4+/PJj9H/PGUZ2sJkYkFBl5g166fuHfvGi4ubjRu7EOpUjVSNMbTp4/ZvfsXLl78C2trW2rWbEetWu2T/RBhiHnm1tGjv/PXX5uJioqgVKmaNGnSB0fHXCmK5eLFY/j5+RIcfJ98+YrSrFl/3N1LpWiM1BAREcb+/Sv5+28/NE2jUqXGNGjQQ+7VeYVERISyd+8KzpzZi6ZpVKnSlPr1u2NjY5fRoQnkOVmpRpIsITKh2IcYbwp8Dd+gNgTmrYK7O/JsLSGEEEKkKXlOlhDi1SWFMYQQQgiRiSV/vl0IITIbT0/w9GSa70I2Bb6GP574ra1CQEBemdUSQgghRIaRJEsIkfX5+ODt7493wEI28Rq+gT74BXoQEBCzhNAcScCEEEIIkVYkyRJCvBpiZ7W8/f3BzzemMEZgGQLwSNA1MPC/XYQQQgghUpskWUKIV4unJ97EzmoFvgaBz7W7e+CPB35+TYwzXZJsCSGEECI1SZIlhHj1xM1qmWvz98ebTUz8O4gA6hqXFfr4pHeQQgghhHhVSXVBIUT2EluZcFrl1fjga6xM6OsrlQmFEEIIkTokyRJCZE+xJeCnuS/EB19jCXhJtoQQQgjxsmS5oBAi+7JQLMMv0MPYLIQQQgiRUpJkCSGEpyfenuAd/3lbUhhDCCGEEC9IlgsKIUSceEsIGwetMVlCKIQQQgiRXFkuyZo/fz7FihXDzs6O2rVr45/EzROPHz9m6NChFCxYEFtbW8qUKcOWLVvSKVohRJYjhTGEEEII8ZKyVJK1cuVKRo4cyaRJkzh+/DhVq1alVatW3Lt3z2z/yMhIWrRowdWrV1mzZg3nz59n8eLFeHgkfDipEEKYkMIYQgghhHhBmlJKZXQQyVW7dm1q1arFvHnzADAYDBQuXJh3332XcePGJei/cOFCZs6cyblz57C2tn6hY4aEhODi4kLwihU4Ozi8VPxCiCzK359Nfo4xhTEoQyAeNG4s92oJIYQQ2U1oaAi9erkQHByMs7OzxX5ZZiYrMjKSY8eO0bx5c+M2nU5H8+bNOXTokNl9Nm7cSN26dRk6dCj58+enUqVKTJ8+Hb1eb/E4ERERhISEmPwIIbI5T0+8x1Qwzmo1ZrfMagkhhBDCoixTXfDBgwfo9Xry589vsj1//vycO3fO7D6XL1/mzz//5I033mDLli1cvHiRIUOGEBUVxaRJk8zuM2PGDKZMmZLq8QshXgE+Pnj7++MdsJCJfwcRQF38Aj0ICAAfn4wOTryoK1dO89dfm4mOjqRkydeoUaMtVlZWKRrj0aO7HDiwmpCQ+7i6FqZ+/e7kzOmSojEiI8M5fHg9N2+ew97ekTp1OlOwYMkUjaGU4syZfZw5sxelFJUqNaJixUZompaicYTIjh4+vM3Bg2sICXmAm1tR6tfvjoODU0aH9cICAy9y+PBvhIc/o0iRCtSu3RFra9uMDivbyDLLBQMDA/Hw8ODgwYPUrVvXuH3MmDHs2bOHI0eOJNinTJkyhIeHc+XKFeM/mLNnz2bmzJncvn3b7HEiIiKIiIgw/jkkJITChQvLckEhhClfX2O59wDKgLuHlHvPYp4+fcQXX7zOyZNb0emc0TR79Pq75M1blLFjV1CuXJ0kxzAYDPz668esWfMFSmnodG7o9XewsbGjf//PadduaLJi8fffxFdfDeDZswdYWbmj1GMMhjC8vHx4993vsLGxS3KMO3euMH16N65ePY5OlwfQMBiCKFq0Oh99tIYCBUokKxYhshuDwcDPP49jw4avUMoKnc4Vvf42NjYO/O9/s2nV6n8ZHWKKRESE8fXXb7Nv36/odDnRNBf0+kCcnPIxcuRP1KjRJqNDzNJeueWCrq6uWFlZcffuXZPtd+/epUCBAmb3KViwIGXKlDH5RrJ8+fLcuXOHyMhIs/vY2tri7Oxs8iOEEAlIYYwsTa/XM3lye06fPgqswGB4gF5/BzjKo0cefPxxKwIDLyQ5zqpVn7Bq1acYDB+i1G30+pvANSIj+7Bo0TB27fo5yTHOnt3P9OldCA2tC/yLXn8Lg+E+sIC9e1czZ07/JMd49iyY8eObcv16MLAdg+F+7Bg7uHHjKePHN+Xp08dJjiNEduTrO4HffvsSg2ESSt2J/T2+SmRkL+bPH8jevSsyOsQUmTXrTQ4cWA98h8FwH73+FnCGp09rMm1aR86dO5zBEWYPWSbJsrGxoUaNGuzatcu4zWAwsGvXLpOZrfjq16/PxYsXMRgMxm0BAQEULFgQGxubNI9ZCPGKiy337t34qUm5dz8/SbQyuxMnthEQcBCDYTXQE4grjlQTg2ErkZGOrF8/K9ExQkNDWLPmC2A0MBnIE9viAcwHuuPrOznR+4ABli+fBlRGqbVAuditDsBglFrA/v0ruH79bKJj7Ny5hIcPb2Ew7ABaEPPPuwY0x2DYwcOHgezc+WOiYwiRHYWEBLF+/VfAR8AEIFdsS2HgO6ADS5dOIoss/OLy5ZMcPrwWg2ER8D/APralAkr9BpRj5cpPMy7AbCTLJFkAI0eOZPHixfz888/8+++/vPPOOzx79oz+/WO+5evTpw/jx4839n/nnXd4+PAh7733HgEBAWzevJnp06czdGjylm8IIUSySGGMLGffvpXodJWBxmZanTAY+uPnl/i310ePbiYy8hnwnplWDRhOUNBVLlw4anGMp08fcerUdgyGIfyX6MX3BjpdHvbvX5loLHv2rESpDkBxM61FUaoTe/YkPoYQ2dHRo5uIjo4A3jXTGvN7fPduAJcvn0zfwF7Q/v2r0OnciPny6Hk2GAzvcOzYZkJDpbBbWssyhS8Aevbsyf379/n444+5c+cO1apVY+vWrcZiGNevX0en+y9vLFy4MNu2beP999+nSpUqeHh48N577zF27NiMOgUhxKtMCmNkGc+ePcZgKELMhyhzihIeHozBYDD5d+X5MWK+q3S3OMZ//SzFEWzSNyEbNK1gomMAPHnyCDC/qiNu/CdPTiU6hhDZ0dOnj9E0e5TKZ6FH0r/HmcmzZ4/RNA/Mf2kDMeejCAt7goOD3BKTlrJUkgUwbNgwhg0bZrbNz88vwba6dety+LCsPRVCpBNPT/D0ZJqvL5sCL8UUxggsg6+vFMbITAoWLIVO54vBEAmYWz5+ADe3khYTrLgxwAAcAcwVyTgQ289yhcBcufJjY5OTyMj9xCzze949DIYAChQYaHEMgEKFSnP//gHirY43odMdwMMjZZUKhcgO3N1LoVQocAKobqZHzO9xVikcU7BgKQyGH4EgIK+ZHgewtXXG2dk1nSPLfrLUckEhhMgypDBGptay5dsYDPeAr8y0nkDTVtC2beIVxapUaYqra3E0bSLwfDGlEHS6T6lQwQt399IWx7C1tadp0zfR6RYA155rVcAkrKysaNw48anQ1q3/h8HgD6wz07oBg+EQrVtnrQppQqSH115rTa5cHmjaR0DUc62P0elmULVqK/LlszTbnLk0afImOp0CphDzd0h8V9DpFtKiRV8p5Z4OJMkSQoi0IoUxMq3ChcvTrdt4YBzQG9gGHAYmoNM1pnjxyrRrZ37VRBwrKyuGD/8OTduDTlcPWAYcBRah09XCxuYGgwZ9nWQsvXtPJk8eJ3S62sDngD+wAU1rAyxk4MA5ODnlSXSMWrXaU7duNzStJzAU2APsBYahad2oXbsLtWt3TDIWIbIbK6scsb/HO9C0hsByYn6Pv0Wnq4md3T0GDjT3ZUzm5OLixttvzwa+QdPaA5uI+TtlBjpdHVxd89Cz58SMDTKbyDLPycooISEhuLi4yHOyhBAvL96ztfxogrs7soQwAyml2LZtMWvWfMG9e5cAsLV1okWLfvj4fJLs+xXOnj3A0qUTOXNmNwCapqNmzfb07TudIkUqJmuMhw9v8/PP49m7dwV6fcyzGosUqcrrr39MvXpdkjWGXh/N6tUz2LRpPk+exDzuxMkpP97eQ+jWbTw5cli6R0MI8c8/e1i69GP+/XcvEPN77OnZkb59Z1CoUNkMji7l9u9fzfLl07hx428AcuSww8urN336zCB37vwZHF3WltznZEmSlQRJsoQQqcrfHwICmPh3dwLy1iUQD9zdpTBGRjIYDAQGBhAVFUHBgqWws8v5QuM8eHCT4OD75Mnj/sIfYp4+fcy9e1exs3OkYMGSaJqlwhyWRUVFEhgYAIC7exmsreWRJUIk1/37NwgJeUDevB7kymWpGEbWoJTi9u1LhIc/JX/+4uTM6ZLRIb0SJMlKJZJkCSHShL8/m/wcYwpjUAbcpTCGEEIIkdklN8mSe7KEECIjeHpKYQwhhBDiFZXlSrgLIcQrI7bcu7e/P/j5Gsu9+wV6GJuFEEIIkfVIkiWEEBnN0xNvT/D2XfhfYQy/JgQESGEMIYQQIiuS5YJCCJFZxHu2VuOgNSZLCIUQQgiRdUiSJYQQmUnss7WmVV5t8mwtuVdLCCGEyDokyRJCiMwo3qyWFMYQQgghsha5J0sIITIrKYwhhBBCZEmSZAkhRGYnhTGEEEKILEWWCwohRFYhhTGEEEKILEGSLCGEyEriCmN0PSWFMYQQQohMSpIsIYTIijw9pTCGEEIIkUnJPVlCCJFVSWEMIYQQIlOSJEsIIbI6KYwhhBBCZCqyXFAIIV4VUhhDCCGEyBQkyRJCiFeJFMYQQgghMpwsFxRCiFeRpyfe+OMdELOE0DfQB79AD1lCmAYeP77H779/w65dvjx5cp+8eQvTsmV/2rR5BwcHp2SNER4eyoIFgzl4cD2RkaFomhVFipTlrbe+olq1Zml8Bqbu3LnMxo1z2Lt3DeHhT/DwKEubNgNp3rw/OXJYp2ssIvMKDX3CH398y/btSwgKuoGTkxvNm79J+/bv4uLiltHhCZHhNKWUyuggMrOQkBBcXFwIXrECZweHjA5HCCFSzt+fTX6OMYUxKEMgHjRuLIlWarhz5zJjxzYmOPgRBsMbQBngBJq2ikKFyvHZZ7txcsqT6BihoU8ZOLAUISH3gDZAU+AO8CMQzODB39C27TtpfSoAnDt3iI8/bk1kpC0GQx/AHU3zQ6nfqVatFRMnbsDa2iZdYhGZV0hIEOPHN+HmzQCU6gFUAwLQ6ZaRK1cePvvMjwIFimdwlEKkjdDQEHr1ciE4OBhnZ2eL/STJSoIkWUKIV4av73+FMWhitou7u8x0pcTo0Q24cOEuBoMf4BGv5Qw6nRcNGrRm1KjEb4qbOLEFp07tBrYALeO1PAHaomn+LF9+HwcHy/+Yp4aoqEgGDCjOkyclMBi2APFn4Xaiae3o3fsjevX6OE3jEJnfl1++wf7922Pf9xXjtdxEp2tM6dIFmTlzXwZFJ0TaSm6SJfdkCSFEdhGvMMYYPmeMu2+CHymWkXyXLp3g/PkDGAwzMU2wACpiMHzE/v2rePz4nsUxIiPDOX16L/AWpgkWxCQ536FUJL/88lGqxm7OkSPrCQ4OxGBYiGmCBdAcpQbw++8L0euj0zwWkXk9enSX/ftXYTBMwDTBAiiEwfAF58/v58qVUxkRnhCZhtyTJYQQ2Un8Z2txPmF74C3j87a++EKWFSbmwoWjgAa0t9CjEwbDSK5cOUn16s8nUDGuXDmFUpFARwtjlAeKc+7cgZeONykBAf5YWZVEr3/+g3OcToSELOTBg5vkz18szeMRmdOVKycxGKKx/J71BjQCAvwpXrxqOkYmROYiSZYQQmRHFjInk2IZQW3w86sixTIssLLKASggHHA00yMUAJ3O8j+11ta2Jn0Tihlfp7N64TiTK+Z8wmOPqZnpERqvn8iu/rv+lt6zMe8heZ+I7E6WCwohhPhPbAl478ZPWVn5U2MJeD8/KQH/vGrVmqNpOmCphR6/YGfnQtmytS2OUaxYFXLkyAn8ZKHHHuA2DRr0eKlYk6N69Vbo9beAP822a9oveHhUJG/e55dGiuykTJna2No6A79Y6LEUTdNRtWrz9AxLiExHkiwhhBAJxT1vy32h8XlbfmuD5Hlb8bi5FaFBg57odGOBnfFaFPArmjab9u2HYGeX0+IYOp2OZs18gM3AdCAqXus/wJtYWzvSqdMHaXAGpipXbkzx4jXQ6QYAp+O1RAGfo9R6unUbhaaZm+US2YW9vSPt2w9B02YBy4l5vxP73x3odONo0KAXbm6FMy5IITIBSbKEEEJYFr9YRt7vpTDGc4YOXUT58jWAFuh0rwG90enKAW9Qv3433nhjapJjvPPOAsqXbwB8REwBjV5AA6AyVlZBTJ++E50u7f+51jSNiRPXU6BATqAqmtYI6IVOVwwYR/fuH9K0ad80j0Nkfm+8MZX69bsCr6PTlSfmfV8DaEn58jUZNmxRBkcoRMaTEu5JkBLuQggRS563ZZZer+f48T/488+lPH58n3z5CtOixQAqVmyUolmf/ftXsWLFNB48uI2NjTW1a3ekb9/PcHTMlXbBmxEVFcGBA2vYv381oaFPKFy4LK1aDaREiWrpGofI3JRSnDmzlx07fuTevRvkzp2PJk3e5LXXWmNllfb3EAqRUeQ5WalEkiwhhIjH3x8CAoyFMQLzVpFnawkhhMg25DlZQgghUp8UxhBCCCGSJPU1hRBCpFzs87am+caUe/fHE7+1VQgIyCuzWkIIIbI9mckSQgjx4qQwhhBCCJFAipKssLAw9u/fz9mzZxO0hYeH88svlp6ZIIQQ4pUVbwlhXLl3Am/xxReyhFAIIUT2lOwkKyAggPLly9OoUSMqV66Ml5cXt2/fNrYHBwfTv3//NAlSCCFEFuDpaZzV8sEX96DTxlktSbaEEEJkJ8lOssaOHUulSpW4d+8e58+fx8nJifr163P9+vW0jE8IIURWIoUxhBBCiOQXvjh48CA7d+7E1dUVV1dXNm3axJAhQ2jYsCG7d+8mZ07LT7QXQgiRzUhhDCGEENlYsmeywsLCyJHjv5xM0zS+/fZbvL298fLyIiAgIE0CFEIIkYVJYQwhhBDZULJnssqVK8dff/1F+fLlTbbPmzcPgA4dOqRuZEIIIV4NsbNa3v7+4OeLP54EBJbhiy88aNxYZrWEEEK8epI9k9W5c2eWL19utm3evHn07t0bpVSqBSaEEOIV81xhjMbslsIYQgghXkmakswoUSEhIbi4uBC8YgXODg4ZHY4QQrwa/P0hIICJgYMJoAyByKyWEEKIzC80NIRevVwIDg7G2dnZYr9kLxcUQgghUo0UxhBCCPEKS9HDiIUQQohUJYUxhBBCvIIkyRJCCJGx4j1bK+5eLQJv8cUXcq+WEEKIrEmWCwohhMgcPD3xxh/vgHhLCP2aEBCALCEUQgiRpUiSJYQQIvOIV+7dO2AhEwMhILAMfoEexub4Vq2agb//RqytbejadSw1a7ZN8SEvXz7J5s3ziYqKoHr1ljRp4pMaZ5JiSinOnNnHzZvnsLd3pEaNNjg65s6QWDITP79lHD++DWtrW9q0eYdSpV5L8RhBQYGcPLmD6OhISpWqScmS1dMg0qTFXOO93Lx5Hnt7p9hrnCtDYnn69BHHjv1BWNhTChUqR8WKDdE0LUNiSQ1BQbc4eXIn0dGRlC5dixIlqmV0SCKbe6HqgkuXLmXhwoVcuXKFQ4cOUbRoUebMmUPx4sXp2LFjWsSZYaS6oBBCZCBf3/9mtYKq4F45pjDGs2e+zJnzFkpFxuusYWfnxDffnCR//uJJDh0S8pAxY+oSGHgB+O+fQltbZ8aNW0GNGm1S/3wsOHfuEHPmvEVg4L+ABiisre3p0GE4Pj6fYmVllW6xZBYnTuxg+vTuREQEx9uqUaBAKb788iDOzq5JjhEREcq33w5j9+5fUEpv3F66dF0++OBn3N1Lp0Hk5p09e4C5c9/m9u1z/HeNHejUaQSvvz413a6xXq/H1/cjNm78mqioMGMs7u7lGTHiR8qVq5MucaSW8PBnLFgwhD17lplc4zJl6vHBB79QsGDJDIxOvIqSW10wxfdkffvtt4wcOZK2bdvy+PFj9PqYN3SuXLmYM2fOCwcshBBCJGCmMMZvv/3JV1/1R6lCwG9AJPAYmEN4eCSDB5cnMjIy0WENBgNDhlQgMPAaMAt4CEQBG4mIKMCUKR25ePGvtD23WFeunGbChBbcuZML2A1EA7eJihrF2rUz+f77EekSR2Zy8eJxJk9uT0SEG7CBmGvzCPiKO3duMGRIJQwGQ6JjKKWYPr0bfn4rUWpW7P5RwHouXXrI2LFePHx4O61PBYBLl04wcWJL7t7NC+wh5hoHEhX1PqtXf8aPP36QLnEALF78HuvWfUlU1Gjgdmwsu7lzJxcTJjTnypXT6RbLyzIYDHz6aRf27l2LUl8R8/dAJPAbFy/eZ+xYLx49upOxQYpsK8VJ1jfffMPixYv56KOPTL51qVmzJn///XeqBieEEEI8Xxjj2oUegB2wH+gEWAMuwHBgDXp9BIsWDU10yN9//4aQkLvAcuB9IDcxK+i9gX2AA/PnD06rMzLx66+TiY72wGDYCTQm5p/mAsBU4Es2b57PnTtX0iWWzGLBgkEoFXeNOxBzbXIB7wErCQm5y8aNcxId4/TpPzlx4g8MhuWx++WKHacjBoMfT56EJTlGavn118no9UUxGHYAjYi5xgWBT4DP+P33b7h371qax3H79iW2bFmAUl8CU4h5n+mAxhgMO4iO9mDFiqlpHkdqOXVqJ6dObcdgWAW8S8zfA9ZAJwwGP0JCnrBp09cZG6TItlKcZF25coXq1ROuZba1teXZs2epEpQQQgiRgKcn3o2f8jQyBOhHzIfU57UFyrJv34pEh/rjj2+B4sQkac/LB7zNpUtp/43+s2fB+PtvxGAYBphbkj4Inc6JPXuWpXksmcnFi6eAAUB+M63eQEn++GNhomP4+fmi05WL7f+8AhgMfdm585eXjjUpT58+4q+/fsdgeBewN9PjHTTNgb17l6d5LHv2/IpO5wwMNNOaE4NhGIcPryc0NCTNY0kNu3cvRaerBJhb2uuOwfAmO3cuTe+whABeIMkqXrw4J0+eTLB969atlC9fPjViEkIIIczz9CRmeVM5Cx00oAJRUYkvF3z27DFQPra/OWWBKKKjo18szmR6+vRR7H0kls7HAU0rTHDwvTSNIzOJWQYYRcw1MCfmGoeGBltoj/H48T0MhrIkdo2fPEn71zUkJAilDFg+H0c0zSNdrnFw8D00rTDmE3qAsiil5+nTR2keS2qIucZlyOhrLIQ5Ka4uOHLkSIYOHUp4eDhKKfz9/Vm+fDkzZszg+++/T4sYhRBCiHhyAMcttBmAY9jampsx+I+zsxuPH58A9IC5ggMn0DQbcuRI2yK8zs6uWFnZotefAFqY6fEYg+Eyrq590zSOzESn06Fptih10kIPPXA8ycIXrq6FsLLaHnvvuPlrnDt34ZcLNhly5cqHTmeNwXASaGqmx0MMhmu4uqZ9LK6uhVHqMhBMzNK6553Ayso2WUVFMoOYa7wHvd6A+XmDE+TJk/avqxDmpHgm6+233+bzzz9nwoQJhIaG8vrrr/Ptt98yd+5cevXqlRYxmpg/fz7FihXDzs6O2rVr45/MJ1WuWLECTdPo1KlT2gYohBAiTRXPlxtYBgSYaV0GXKdw4UGJjtGlS9xN/z+Zab0M/ET58rVfLtBksLd3pEGD7uh084AgMz1moWlRNG6cMWXlM0qFCnWAn4GLZlqXArfo3HlUomM0a9Yfvf5qbP/nXUSnW0br1gNeNtQkOTg4U79+N3S6r4kpsPK8mWiaHi+vN9I8lsaNfVAqgphiL88LQqebR6NGPbGzy5nmsaSG5s0HoNdfAn4103oeTVtBq1b90zssIYAUJlnR0dH88ssvNG/enAsXLvD06VPu3LnDzZs3eeutt9IqRqOVK1cycuRIJk2axPHjx6latSqtWrXi3r3Ep4KvXr3KqFGjaNiwYZrHKIQQIm2t/+gjYmas6gHzgOvAGWAM0A9rnT2V8gzliy/A0vdwTZv2oWDBMsTcmzIK+Cd2nAVAXXQ6xbvv/pDm58L/27vv8KiqrY/j3zkT0oCEXhKRjoACUgwGREBQmnkV8QpIEBALFvSKolhoBgVRFBUUFZXLDYrAFQULgkCkiERpIi3SyxA6CSGQMue8fyTEBFLJJJPy+zzPPPdyzpnNOrMjycraZ21gwIDx+PpexDDacSmBgD+AocAE+vUbTaVKmT1/VnI9/fTn2O02UuZ4Ov/M8UhgKNWr1+e227Kv7l13XVs6dXoAeCj1fdtSx5mOYXSgWrVa3Hnn8IK8jTQDBryKj08chtGelF8EHAF+J+XZwkncf/84KlSoVuBxVK4cQL9+o4EwUr6+/kiN5b8YRjt8fRPo339cgcfhKk2atOPWW+/HZhsCvABsBw4A72MYt1KzZh169sy+CY5IQcnzPlm+vr7s2LGD2rVrF1RMWWrbti033XQT06ZNA1LWbdeqVYvhw4czatSoTN/jdDq59dZbefDBB1m9ejVnz57lm2++yfXfqX2yRESKnrXbt3P7mHFcSEzgnz2u7FxT3pcdXbqw8uTNKXtr0ZmAAGjU6MqNjBMTExk79na2bfuVlOe8AGxUrBjIuHHfU7du80K7n8OHd/Hhh0+ydevPacf8/GrSr99L9Or1RLHeJPZq7d//F+PG9eD06SP8M8ceNG0azKuv/oynp2eOYzidTubOHc+iRe9z4cJZAGw2Ozff3JvHHpteKInNJYcP70yd4+Vpx/z9A+jf/xV69BhWaHNsWRbffz+duXNfJzb2nxb2zZvfzmOPTSMwsFGhxOEqTmcyX3wxlsWLp3PxYspzeobhQXDwPQwbNg1//6pujlBKmtzuk5XnJKtTp078+9//LvRld4mJifj6+rJgwYIMf/egQYM4e/Ys3377babvGzt2LH/++ScLFy5k8ODBOSZZCQkJJCQkpP05NjaWWrVqKckSESmClm3axOyVK/Hx9OTFf/2LutVTu9FFRkJUFKMdw4iiEQ4C6dTpykQLIDb2JMuX/4eEhPO0adOTBg3aFOo9pHf06B6OHNmFt3c5GjcOxsOjjNtiKSp2797IH398h6enD127Drmq54USEuLZuXMdycmJ1KnTgsqVAwog0txxOHbjcETh41Oe66672W1znJycxM6d67h4MY7AwOuK/aa9Fy+eZ9eu30hOTqRu3RtLXfVXCk9uk6w8P9H7+OOP8+yzz3L48GFat25N2bIZ1+02b14wv/k7efIkTqeT6tUztnOtXr06O3fuzPQ9a9as4dNPP820G2JWJk6cyPjx4/MTqoiIFJLbW7bk9ky2FSEoCIKCCAufwWJHq5Sq1v+aExVV+Yqqlp9fFXr3LrzNYLNTs2b9Yv/Drqs1aNCKBg1a5WsMLy9fWrTo4qKI8icgoAEBAQ3cHQYeHmW44YZb3R2Gy3h7ly0ycywCV5FkXWpu8dRTT6Uds9lsWJaFzWZL7eLjfufOnWPgwIF88sknVKmS+996vfjii4wYMSLtz5cqWSIiUgyFhhISGUlI1AwW04pwRygRjkCioiC0dPWSEBGRQpTnJGvfPvfsOl+lShXsdjvHjh3LcPzYsWPUqFHjiuv37NnD/v37CQn5ZxPClL03wMPDg127dlG//pW/LfTy8sLLy8vF0YuIiNukVrVCIiMhIpxIgohyNGLy5KyXEIqIiORHnpMsdzS8APD09KR169YsX7487Zks0zRZvnw5Tz755BXXN27cmK1bt2Y49sorr3Du3DneffddVadEREqboCBCSK1qXVpCGNGZqMw6wZN5swwREZHcyHOSNXv27GzPP/DAA1cdTE5GjBjBoEGDaNOmDUFBQUydOpXz588zZMiQtL87MDCQiRMn4u3tzQ033JDh/RUqVAC44riIiJQS6apaIVEzGO0ACLzisihHWS0rFBGRq5bnJOvpp5/O8OekpCTi4+Px9PTE19e3QJOsvn37cuLECcaMGUN0dDQ33ngjS5YsSWuGcfDgQQwjz/sri4hIaZOuMUZmFtMqbVlheHigqloiIpIneW7hnpm///6bxx57jJEjR9KtWzdXxFVkaJ8sEZFSKLUF/GJHK8IJxUFglvttiYhI6ZHbFu4uKfs0bNiQSZMmXVHlEhERKZaCglI6E3aKI5RwOrESHEeIiEjJv0RERLKT5+WCWQ7k4YHD4XDVcCIiIu4XFERIEISEX9ksQ1UtERHJSp6TrEWLFmX4s2VZHD16lGnTptG+fXuXBSYiIlJkpNtva/TWU0QRrMYYIiKSpTw/k3V5YwmbzUbVqlW57bbbmDJlCjVr1nRpgO6mZ7JERCSDyEgWR5RLaYxBIwhQYwwRkdIit89k5bmSdWlDXxERkVLpsv22wh2haVUtJVsiIgJX0fji1VdfJT4+/orjFy5c4NVXX3VJUCIiIkWaGmOIiEg28rxc0G63c/ToUapVq5bh+KlTp6hWrRpOp9OlAbqblguKiEiOwsP/aYxBZ7V7FxEpoQqshbtlWdhstiuOb9myhUqVKuV1OBERkeIvtaoVFjCDTqcWpFW1wsPdHZiIiLhDrp/JqlixIjabDZvNRqNGjTIkWk6nk7i4OIYNG1YgQYqIiBR5QUEQFERYZCSLI/akNMZwNCI8XI0xRERKm1wnWVOnTsWyLB588EHGjx+Pv79/2jlPT0/q1KlDcHBwgQQpIiL5t+PQIaZ//z3LNm/Hsixua9GEJ3r2pFmdOu4OrVg7f/Ei/125kvDlyzl+9izXVqvGkPr1GVPmD5ZEt1FjDBGRUijXSdagQYMAqFu3Lu3ataNMmTIFFpSIiLjWl7/8wsB3pmKjMslmH8Bg3/Gv+finpXw6/EmGdO3q7hCLpeNnz9LlpZfYfvgwvWw2brYsNp08SehffzHz+uv5/s76sDY8raoV4QgElGiJiJR0eW7h3rFjx7T/f/HiRRITEzOcz+4BMBERKXy7Dh9m4DtTcZoDgE8ATwCSne8ATzD0/Wm0ql+fFnXrujPMYmnwO+9w0uHgT+D6S32kTJNVQM8dO3ju2mv54PnHCAmf8U9jjIjOqmqJiJRweW58ER8fz5NPPkm1atUoW7YsFStWzPASEZGi5YMff8RGReBjLiVYKcoAH2C31eD97753T3DF2K7Dh/lx0ybeNE2uv+zcrcAo02TWzz9zNi5OjTFEREqZPCdZI0eOZMWKFXz44Yd4eXkxc+ZMxo8fT0BAALNnzy6IGEVEJB+Wb9lOsnk34JXJWQ+SzXtZvmV7IUdV/K3envKZ3ZvF+fuAC0lJ/LF7d8qB1L21wvpsybC3Vni49tYSESlp8rxccPHixcyePZtOnToxZMgQOnToQIMGDahduzZz5sxhwIABBRGniIgUoEx25pCCEhRECJGERKUsIVRjDBGRkifPlazTp09Tr149IOX5q9OnTwNwyy23sGrVKtdGJyIi+dalRVPsxkIgIZOzyXjYF9C1RdPCDqvY69A05TObn8X5rwCfMmVo06DBlSdTq1ohneIyVLUiIlTVEhEpCfKcZNWrV499+/YB0LhxY+bNmwekVLgqVKjg0uBERCT/Hu/RAzgLPEzGRCsJeAynGc2TvXq5I7Ri7bprrqFny5aMNAz+uuzcL8Akm43BXbtSoVy5rAcJCiLk+aaEBcxIS7YuPaulZEtEpPjKc5I1ZMgQtmzZAsCoUaOYPn063t7ePPPMM4wcOdLlAYqISP5cd801hI94BrvxBR5GLeAx4Ak8jGsxbJ/x2VPDaa7Oglfl82eeoVpgIC2AEJuNZ4HOhkEnoG3Tprz14IO5G0iNMUREShSbZV3qOXt1Dhw4wIYNG2jQoAHNmzd3VVxFRmxsLP7+/sTMnYufr6+7wxERuWo7Dx9m+vffs3TTNizLokuLJjzRqxc31K7t7tCKtfiEBMJXruS/6TYjfvCOO7i3fXvKeOT50WeIjGRxRLmUvbVoBAGBelZLRKSIiI+PpV8/f2JiYrLduipfSdbFixfx9va+2rcXC0qyRESk0EVGQlRUSmMMQnEQSECAGmOIiLhbbpOsPC8XdDqdhIWFERgYSLly5di7dy8Ao0eP5tNPP736iEVERCSFGmOIiBRreU6yXnvtNWbNmsXkyZPx9PxnU8sbbriBmTNnujQ4ERGRUk2NMUREiqU8J1mzZ8/m448/ZsCAAdjt9rTjLVq0YOfOnS4NTkRERFBjDBGRYibPSdaRI0dokMmeH6ZpkpSU5JKgRERE5DKpSwjD+mzJsIRQVS0RkaInz0lW06ZNWb169RXHFyxYQMuWLV0SlIiIiGQhKCitqhVKeIaqlpItEZGiIc+9ZceMGcOgQYM4cuQIpmny9ddfs2vXLmbPns13331XEDGKiIhIekFBKclWZCREhKe0e3c0IsIRmHZaRETc56pauK9evZpXX32VLVu2EBcXR6tWrRgzZgx33HFHQcToVmrhLiIiRV54OIsdrYgkiAg6q927iEgBcfk+WXv37qVu3brYbDaXBVkcKMkSEZFiIXVvrdFb/0VU5eC0vbVCQ90dmIhIyeHyfbIaNmzIiRMn0v7ct29fjh07lr8oRURExDXUGENEpMjIdZJ1ecHrhx9+4Pz58y4PSERERPJBjTFERNwuz40vREREpIhTYwwREbfKdZJls9mueB6rtD2fJSIiUqwEBRESBCHhM/5pjBHRmagoNcYQESlIuU6yLMti8ODBeHl5AXDx4kWGDRtG2bJlM1z39ddfuzZCERERyZ/QUEIiIwmJmsHoraeIIpgIRyBRUWqMISJSEHKdZA0aNCjDn0P1r7KIiEjxkbqEMCwyksURe9KWEIaHB6qqJSLiYle1T1ZpohbuIiJS4qS2e1/saEU4oWnt3pVsiYhkL7ct3NX4QkSkFDkTF0dkVBSWZXFTw4ZUzuYbREHbun8/B06coEr58gQ1aoRh5LrhbYm12+Fg15EjlPPxoV3jxpTxKKBv02qM4TYOx98cORKFj095GjcOxsOjjLtDEpECoCRLRKQUiE9I4LnPPmPWsmVcSE4GwMtuJ7RzZ6Y+/DDlfHwKLZZfd+zg6Rkz+GPfvrRj9atWZeKQIfzrllsKLY6iZNfhwzz+wQes+OuvtGM1/Px4qV8/nuzVq+AaTakxRqE5dGgHH3zwBNu2rUw75udXk/79X6Znz8fVTEykhFGSJSJSwiU7nYSMH8/67dt52TTpB9iABU4nE1asYOehQyx//XW8yhT8b9TX7dxJl5dfpoXTySKgDbAbmHLiBPdNnszspCQGdu5c4HEUJXuOHuWWkSOpfOEC4UBn4CjwYWwsT338MafPnWNs//4FG0Q2jTEaNbryciVfeeNw/M3Ikbdw8WJ14AugI+AgNvYDPvroSc6fP8t9973s5ihFxJX0TFYO9EyWiBR3X61eTb8332QFKT/Ap/cbEAx8/vTTDO7SpcBjaf/ccyTt3s1q08Qr3XELGAj8VLYsh2fPLpSEr6gYOGUKv6xezSbTpPJl50YDkwyDg599Rs1KlQonoMhIFkeUS1lCSCMICLziEocDOnVSspVbb755P2vX/oppbgIqXnb2RQxjCp9/foiKFau7IzwRyYPcPpOlBfAiIiXc50uX0sEwrkiwAG4GutlsfPbTTwUex67Dh/k1KooXLkuwIKWyNho4ef483/3+e4HHUlTEXbjAvDVreDKTBAvgOcATCI+IKLyggoII6RRHWMAMQgnP9NWJlUREQHh4Sg8NyVp8fCxr1y7ANJ/iygQL4Hksy84vv8wp7NBEpABpuaCISAl3+MQJbjPNLM+3tCy+OnGi4OM4dQqAG7M4fx3gY7Nx+OTJAo+lqDgZG0ui00nLLM77A3VtNg4V9meSvjEGu644HcJiRjtQs4xcOHv2OKaZRNZf+RUxjDqcOnW4EKMSkYKmJEtEpISrVrEiu44ehSxWh++02ahWoULBx+HvD6T8yF4/k/MHgAuWlXZdaVCpfHnsNhs7LYvbMzkfDxxy52eSVeYUFERY+mYZ/2tOVFRlNcvIhJ9fZWw2A8vaBdyWyRVxWNYh/P2rFXZoIlKAtFxQRKSEG9ilC8ssi02ZnNsOLLYsHrg9sx/xXeuG2rVpce21vGWz4czk/JuAn5cX/9e2bYHHUlT4+fpyV9u2TDMMzmdyfgZwzjQZ0LFjYYeWs9DQtGWFz1eeCY4jaUsI5R/lylWkTZs7MYz3SUmbL/cBlnWBjh3vL+zQRKQAKckSESnh+t96Ky3r1OEOw+AzUn7MuwDMBroYBo0DA3mgEDr62Ww23njwQX4B7rLZ+IOUhhe7gWHAdGB8aChlvb0LPJaiZGz//hzx8KCrzcYKwAQcpDyjNhJ4olcv6tao4dYYsxQUlJZsXXpWC8cRJk/Ws1rpDRgwHrv9AIZxOxDBP7P8MjCKO+98iqpVr3VniCLiYuoumAN1FxSRkuBUbCwPvfce30ZGkv4f/Z4tW/L5M88UynLBSxatX8/wDz/k4OnTaccq+vgwLjSU4XfeWSr3C/pt506GTp3Kdocj7ZhvmTI8fdddhA0YgN1ud2N0uRQZCVFR/ywhpDMBAdpv65IdO37l3XcfwuHYkXbM07Msd9/9b+6//1Vtxi1STOS2u6CSrBwoyRKRkmTP0aOs2rYNy7K4pWlTGgVe2Z67MDidTn7esoUDx49Txc+PHq1b4+N1ec/B0sWyLNbu2MGOQ4co5+1Nj9atqVCunLvDyrvUZGu0YxhRNMJBoNq9p7Isi23bVnPkyC58fMrTunUPypYtPc8gipQESrJcREmWiIjIVQgP/6eqdao5Ac3UGENEij/tkyUiIiLuo8YYIlKKKckSERGRgqHGGCJSSmmfLBERESlYQUGEEElIVLq9tSI6ExWlxhgiUjIpyRIREZGCFxSUkmxFpiRbox0Q5WhEhCMw7bSISEmhJEtEREQKT2qyFRaerqr1v+ZERakxhoiUHMXumazp06dTp04dvL29adu2LZHZLOr+5JNP6NChAxUrVqRixYp07do12+tFRESkkKgxhoiUYMUqyfrqq68YMWIEY8eOZePGjbRo0YJu3bpx/PjxTK+PiIigf//+rFy5knXr1lGrVi3uuOMOjhw5UsiRi4iIyBXUGENESqhitU9W27Ztuemmm5g2bRoApmlSq1Ythg8fzqhRo3J8v9PppGLFikybNo0HHnggV3+n9skSEREpBKmbGKctIaQzAQFqjCEiRUuJ2ycrMTGRDRs20LVr17RjhmHQtWtX1q1bl6sx4uPjSUpKolKlSllek5CQQGxsbIaXiIiIFLB0Va2wgBlpVa2ICFW1RKT4KTZJ1smTJ3E6nVSvXj3D8erVqxMdHZ2rMV544QUCAgIyJGqXmzhxIv7+/mmvWrVq5StuERERyYPUZCssYEbaEsKI/50iPFzJlogUH8UmycqvSZMmMXfuXBYuXIi3t3eW17344ovExMSkvQ4dOlSIUYqIiAigxhgiUqwVmxbuVapUwW63c+zYsQzHjx07Ro0aNbJ971tvvcWkSZP4+eefad68ebbXenl54eXlle94RUREJJ/S7a1FRDiRBBHlaMTkyYF06qRntUSk6Co2lSxPT09at27N8uXL046Zpsny5csJDg7O8n2TJ08mLCyMJUuW0KZNm8IIVURERFwpKCitqpW2hDACLSEUkSKr2FSyAEaMGMGgQYNo06YNQUFBTJ06lfPnzzNkyBAAHnjgAQIDA5k4cSIAb7zxBmPGjOGLL76gTp06ac9ulStXjnLlyrntPkRERCSP0lW1QqJmMNoBUY5GRDgC006LiBQVxSrJ6tu3LydOnGDMmDFER0dz4403smTJkrRmGAcPHsQw/inOffjhhyQmJnLvvfdmGGfs2LGMGzeuMEMXERERV0hNtsLCZ/zT7v1/zYmKqqx27yJSZBSrfbLcQftkiZResfHxhEdE8F1kJAmJidxYvz6Pdu9Oo8BAd4d2VT5btownP/qIhMREADzLlOHtoUN5rGfPXI+RkJTE/DVrmL9mDefi42lUqxaPdOtGq/r1cz2GZVms3raNz37+mQPR0VSpUIEBnTpx50034WG35/m+8uPwyZM8M3Mmv2zdiul0UjcggEkPPECXG2/M9RhOp5Pv//iD/66M4NjZWOpUq8KQrl3o1KwZNpst1+Ns3ruXj3/6iW0Hj+Dn68297YLp26ED3p6eV3FnpUS6vbXCCcVBIAEBEBrq7sBEpKTK7T5ZSrJyoCRLpHTaun8/3UeP5lhMDF1sNipYFssNg9OmyfuPPsoTvXq5O8Q8afPMM2zaswcPoDspD+QuARKBxrVqsW369BzHOHLqFHe8/DLbHQ462GwEWhZr7HYOO52M7N2bNwYPzjGpSHY6GTJ1KuG//EJDw6CNabLbMPjdNGl/3XV8P24c/mXLuuCOczZvzRpC33wTp2XRFfAHlgIxQP9bb+WL557LcYxz8fH0fPU11mzfit1oidNsjIexgWQzivtu6UD4iGco45H9ohHLsnglPJzX58/Hw6hJstkRw+bAtFZRv8Y1rHhtPNdWreqKWy65IiNZHFEupTEGjXCgxhgiUjBK3GbEIiKF5UJCAj3HjqXquXPsAX6yLL4CDpkmw4EnP/qI5Vu2uDnK3Js0fz6b9uzhduAo8C2wMPX/3wnsPHSI5z77LNsxLMvingkTOBcdzRZglWXxJbDP6eQt4M2FC/l02bIcYwn76iu+/OUXZgO7TJMvgEjT5Bdg299/8+DUqfm409w7GRvLwDffpKllsR/4CZhHymfyJPDlqlVM/fbbHMd5aNoHrNu5H/gZp7kR+IJkcyfwJfPXrmPMnDk5jvHflSt5ff58YCLJ5gHgS0zrF+AvDhy3c+err6Pfh+ZAjTFEpIhRkiUicpmv1qzh8JkzzDdNaqc77gNMBVoZBm8vXOie4K7CmC++wAeYD1RKd7wCMJeUCs7URYuyHWPN9u1E7tnDp6ZJ+o0wPIBngXuBtxYsyDYZuJCQwLRFi3gKGAikr3ndCkwxTRauX8+eo0dzfW9X67nPPiPJsvgaSL/lvA/wLnADMHnBgmzHOHD8OPPXrsFpTga6pDtjA/phWSOY9v1PnL94McsxLMti0oJvsNlCgFFAmXRnryfZnMXWA3tY8eefebq/Uil1E+NLyVYnVmpvLRFxGyVZIiKX+WnjRoINg4aZnLMBA02TnzZtwjTNwg7t6jid3AuUz+SUD9APsOdwLz9t2kQNu52uWZx/ANgVHc2B48ezHGPDnj2cjo9nYBbn+5PyTWnZ5s3ZxuIKP2/ZQjugXibnDGAwEB0Tk+0cL9+yBcsygaweAHqAuItxrN+1K8sxos+cYcfh/VjWoCyu6IiH/RqWbNyY5RhymdRkK31Vy7H1lKpaIlKolGSJiFwm2enEJ5uKjC/gtKxis4TLRkoylZXcPG2a7HTiTcbqU3o+6a7Lboz0117OE7DbbNmO4SqmaWZ73z6AlXpdVlLitAHeWVyR8jck5zjGpb8xMzZseBfKZ1LipKtqPV95pqpaIlKolGSJiFwmqFEj1gInszi/0GajTd262Au5E97VSgK+AZIzOWcCC7I4l15Qw4bsdzrJatHaN0D18uWpXa1almM0q10bL7udrJ50WgIkWhZBjRrlEE3+Na9Th1+A01mc/xrw9/LCI5umFSlxWsDiLK5YiIfhwY1162Y5RkClSlSvUIWUTzAz20ly7qZtIXwmJVK6JYSXqlo4jjB5sqpaIlKwlGSJiFxmSNeu2D08eJSU7nvpzQaWWBZP/t//uSGyq3Nf+/ZEk/LET/ramwWMAw4AXVu2zHaMkKAgalWsyDDDIOaycyuAmTYbj/bqlW0nvcp+fgzo1IlJhsHlbUOOAs8aBkH163NTw8wWarrWlKFDSQaGkZKEpvc5sBy4/7bbsh3jxnr1CL7uejyM54DDl539C7vxGvfd0p5qFSpkOYbdbmf4nd0xbLNIab+R3jkM41Gq+lfmnuDgHO9JsqHGGCJSyNTCPQdq4S5SOi1av55/TZpEDSDU6cQf+N4wWGWaDO3alU+GD8/THkju5t+vH7Hx8TQG7iflN2xzgb8AX09PzufQ5AEgMiqKbqNH45GQwEDTJABYZbPxnWVxe4sWLBozBq8yZbId42xcHF1eeomtBw7Qx7JoA+wG5hgG5cuX55c33qBBQEB+bzdXXpg1ize//poAYBApDUC+BX4FmgQG8tf06Rk2uM/Mvuho2r/wMsdj4nGaA4BGwEYM2wKa1LqGVRPDqFQ+s6fh/pGYlMTdr03ix41/YNi6Y1q3AUexG7PxLnOBpa+OoV2TJq64ZYG0vbVGO4ap3buI5Jn2yXIRJVkipdef+/bx7uLFLP7tNxKSkmhZrx6Ph4Twr/bti1WCdUnHF19kzbZtaUsYTKBNw4asnzIl12Psi47mve++Y/6qVcReuECjgAAe6dGDIV275rgf1CXnL17k459+4tMlSzhw4gRVypcntEsXnuzVi+oVK+b9xvJh3po1vDx7Ngeio7EAP19fBt9+O28OGZJjgnXJiZgYpn3/PZ/9HMGp2BgCK1fl0e5deLRbN8rn8vtGUnIys1esYPoPS9l15DBlvXzod2swT4eEUL9mzXzcoWQpPJzFjlZEEkTEqeYENKtMo0ZKtkQke0qyXERJloiISAmVWtVa7GhFOKE4CCQgAEKzahgpIqWeNiMWERERyY4aY4hIAcnd2g4RERGRkiooiBAiCYma8c8SwojOREWhJYQiclVUyRIRERFJV9UKC5iRVtXS3loicjWUZImIiIhckppspW/37th6Su3eRSRPlGSJiIiIXC5dVev5yjNV1RKRPFGSJSIiIpIZNcYQkaukxhciIiIi2cmmMUZm1CxDRJRkiYiIiOQkKCgl2YpMSbZGOwACr7gsylGWCEcgUVHab0ukNFOSJSIiIpJbqclWWOQKMitlLSal0hXlaER4eKCqWiKllJIsERERkbxKTbYud6nStdjRivCtPYhwNNd+WyKlkJIsEREREVdJt6yQiB+J5BRRjkZEOALTTotIyackS0RERMTVgoIICYKQ8CubZaiqJVLyqYW7iIiISEFJt99Wp1MLtN+WSCmhJEtERESkIKXutxXWZ0uG/bbCw7XflkhJpSRLREREpDAEBaVVtUIJh61/plW1lGyJlCx6JktEXMqyLPZGRxMTH0+datWoVL68u0MqMQ4cO8avO3dSqXx5br/xRgzDPb8nsyyLPUePcu7CBWrnY463HTzI5r17qVejBsGNG1/VGOcvXuRvhwNPDw+uCwzEbrdf1ThSsjmdTnYdOUJicjINAwIo6+3tvmDUGEOkVFCSJSIuszgyknHh4Wzcvx+AMobBve3bM2nwYK6tWtW9wRVjf+7bxz2vv86+Y8cwU4+V9fDg4Z49eeehhwo1lm9++43xc+aw+cABIGWO/3XLLbwxeDDXVKmSqzG++/13HnnvPaJjYrBSj1Xw9mbsgAH8+667cjVG3IULvBIezudLlxKbkABAncqVee7ee3m8Z09sNlue701KHsuy+PDHH5m04BsOnYwGwNfLl4fu6MKEAQMo7+vrvuDUGEOkRLNZlmXlfFnpFRsbi7+/PzFz5+Lnzn+MRYq4/yxfzuB336WLzcaTlsU1wGpgimGAnx/rpkyhlhKtPNt28CBtnnqKsqbJ80Bn4BjwAfAj8K/27Zn3wguFEstny5Yx9P33ud1m4wnLIhBYRcoc2/39Wff22wRWrpztGN+uX8+9r71GLeB54CZgN/A28Dswtn9/xvbvn+0YFxISuO2ll/hrzx6eMk1CgPPALCAcGHHXXUwZOjSfdyslwfOff86bCxcCA4DBQHlgMXbjXW6sG8CqSa/h6+Xl1hiBlLWCUVGM3vovoioH4yCQgAAIDXV3YCJyufj4WPr18ycmJgY/P78sr1OSlQMlWSI5OxcfT+CgQdyTkMDnQPoawlGgjWHQ5dZbmT1ihJsiLL6aDx/OoQMH2ATUSXfcAp4iJdn6a/p0mtSqVaBxxJw/T+CgQfRLTOQTMs7xEVLmuEfnznz29NPZjlO1f38qnj9PJFAh3fFk4P+A5TYbMfPn4+3pmeUYb3/zDaM+/5y1lsVNl517BxgBbH73XVrUrZvr+5OS5899+2jx9NPAm8Bzl53dgGFrxxuDB/Bc795uiC4LkZEsjihHJEFE0QgCAlXVEilicptkqfGFiOTbV2vWcD4hgQlk/OEboCbwtGkyb/VqYuPj3RBd8RUbH8/2Awd4gowJFqR8zmMBO/Di7NkFHsuXq1aRkJTEq1w5x4HAcNPky19+4Vw2c7zqr784ef48r5AxwYKUtesTgETLYtKCBdnG8smPP9InkwQL4EkgwDD45Kefsr8hKfFmLluGh1EdyCzxb41p/YsPf1hW2GFlT40xREoMJVkikm+7jx6ltt3ONVmcbw8kOJ0cOXWqMMMq9nYcOoSTlM8vM1WAhsDe6OgCj2VPdDR1DYOALM63By4mJ3P0zJksx1gfFZV2bWZaAZ7A1tTnvbKM5dgxbsniXBmgrWmy5+jRbMeQkm/30WiSzZtJ+arITHv2Hy+CXyep7d5DOsURWvnHtHbvERFKtESKEyVZIpJvFcqW5YRlkVUN49KPzP5acpsnNStVAuBgFueTSFmOWRhLmSuULcsxy+JiFudzM8c1K1YEsr6fY0AiUDmHboUVfH3JLg07YBhUKFcu2zGk5KtYrix2Y382VxygvE8R/joJCiLk+aZpVa1OrFRVS6QYUZIlIvn2r/btOW+afJ7JOScwzTDo0LgxATk0RZCMrq1alWp+frxPSvJxuS+BM8AzuezIlx/33XILsabJfzI5lwxMNww6X3891VMTqcz069ABH8NgKpDZw8Dvk/JN6cV77802lr4dOzLLMDibybk1wEbTpF+HDtmOISVf31tuwWluIaU9y+Vi8DA+J7RTVnXVIiS1qhUWMINOpxakVbXCw90dmIhkR0mWiORb/Zo1GdKlCyNsNt4F4lKPRwF9gfWWxdgBA9wXYDH22sCBbAfuBranHosHPgIeAWpVqkSfdu0KPI6GAQEM6tyZp2w23ielmx/ALuA+YINlMeb++7Mdw8PDg4d69mQR8BBwKPX4GeBV4HUguEkT6taoke04I+66iyQvL+4wDH4jJWFLAuYDvQ2DoPr16XVTZk9sSWnSq00bbmrYGLvRG5hHyleJBazHbtyBt2c8I+6+260x5lrqEsKwPlvSqlo4jqiqJVKEqbtgDtRdUCR3EpOSeHLGDD79+Wc8gYqGwVGnk8ply/LR8OGFkgiUVK/OncuEL74gCagKnAMuAvWqVeP3t9+mUjbdjVwpISmJJz78kM9+/hlvm40KqXNcpWxZPnn6ae6++eZcjfPA22/zRUQEJinPlZ0hpeIZ1KgRayZNwsMj5y0cN+7Zw30TJ7Ln+HGq2e1csCzOmSZ3NG/OF88/T+VC+kykaDt97hz93nybZZs3YDfKYbP5kOw8wbVVa/K/Uc/RpmFDd4eYd6nt3hc7WhF+qgeOys0JCNDeWiKFRS3cXURJlkjeHDxxgv/9+iux8fE0DAjgnuDgbNtxS+7Exccz5osv2LR3L+V8fHjmrru4rXlzt8Sy/9gxFv72G7Hx8TQKCKD3Vcyx49QpXpkzh71Hj1LV35+x/fpxQ506eRrD6XSydPNmfv/7bzw9POjRurXatkum/ty3jx82bCAxOZk2DRrQrWVL7Ha7u8PKn8vavTsIpFMnJVoiBU1JlosoyRIREZEiKzycxY5WRBJEBJ1V1RIpYNonS0RERKSkU2MMkSJJSZaIiIhIcabGGCJFjpIsERERkZIgKCitqhVKOGz9U3tribhJzi2cRERERKR4CApKSbYiIyHiRyI5RZSjERGOwLTTIlLwlGSJiIiIlDRBQYQEQUj4jH8aY0R0JipKjTFECoOWC4qIiIiUVGqMIeIWSrJERERESjI1xhApdEqyREREREoDNcYQKTRKskRERERKi9SqVkinOL5q9lpaVSsiQomWiCup8YWIiIhIaZPahTBMjTFECoQqWSIiIiKllRpjiBQIJVkiIiIipZkaY4i4nJIsEREREVFjDBEXUpIlIiIiIinUGEPEJdT4QkREREQyUmMMkXxRkiXiZpv37uW/K1cSffYs11SuzOAuXWhSq5a7w3Kr8JUrGTV7Nmfi4vDx9OTR7t159f77sdvtuR7j4IkTPPvpp2zcswe73c6dbdowITQUX2/vXI9xMTGR8V9+ydfr1pHkdNKsdm3eHjqU+jVr5ul+5kREMOWbbzgdF0f1ChUY268fPdu0ydMYR0+f5vOff2b7oUOU8/GhT3AwXVq0wDByvyDhQkIC89asYeXWrViWxa3XX0//jh3x9fLK9RiWZRGxdSvz164lNj6e6wIDGdK1K9dUqZKn+xGRYiI0lJDISEKiZjB66ymiCCbCEUhUFISGujs4kaLLZlmW5e4g8mL69Om8+eabREdH06JFC95//32Csvl1yvz58xk9ejT79++nYcOGvPHGG/Ts2TPXf19sbCz+/v7EzJ2Ln6+vK25BBICk5GQefPddwn/5hZp2O40si+3ACdPk8R49eP/RR/P0A3RJ4HQ6qT10KEdOn8YPaA7sBRyAr4cHUR9/TGAufpgf/+WXhH35JQBtgDhgG+BtGHwzZgzdWrXKcYy1O3Zwx0svEe900hioAPwBmMDT//d/vP3QQzmOERcfzw3Dh3PgxAmqAQ2B7cAZoHnt2mx45x08PHL+XdeMH3/kqY8+ogzQGjhmsxHldHJzgwYsHjeOKn5+OY6xYfduQsaP52hMDG0MAwP43TSpUq4c34weTbsmTXIc40xcHHeHhbFqxw7q2+0EWhYbgQuWxZsPPsgzd92V4xgiUoxFRrI4ohyRBBFFIwgIVFVLSp34+Fj69fMnJiYGv2y+/xarn+C++uorRowYwdixY9m4cSMtWrSgW7duHD9+PNPrf/31V/r378/QoUPZtGkTd999N3fffTd//fVXIUcucqXnP/+cr1at4jPgoNNJhGly2DR5D/jwxx+ZMG+eu0MsdK1HjODI6dO8BkQDq4GDwFeAMzmZpo8/nuMYC9et49Uvv6QHcAj4DfgL2ALUMk3uevVVTsbGZjtG/MWL3P7SS1RxOokEdgDrgCPAv4Cpixbx6bJlOcbS/oUXOHLiBLNS37sGOApMBbYeOEDPV1/NcYzvf/+dxz78kEdME4dpsso02el0shzYu3cv90yYQE6/Kzt+9izdRo+m1rlz/E1KcrXeNNkDNI6Pp+fYsRw+eTLHWPq98QZ/7drFEuBvp5NfUmN62rIY8emnLFi7NscxRKQYy6YxRmYvPcMlpVmxSrLefvttHn74YYYMGULTpk2ZMWMGvr6+fPbZZ5le/+6779K9e3dGjhxJkyZNCAsLo1WrVkybNq2QIxfJ6PS5c8z48UfGWBZD+GfdricwHPg3MHXhQi4kJLgrxEIXd+EC2/btYxDwEuCTetwO3Ae8BZy7eJFF69dnO84Ls2ZRA1gApF/U1xz4Hkg0TZ6fNSvbMV4JD+eC08k3wE3pjlcDwoEGwPgvvsh2jF1HjvDXgQO8Cgzinzn2Ap4GngQiNm/mbFxctuNMmjePW2023gf8U4/ZgNuAWabJ6p07+XXHjmzH+GTpUuLj4/nONGmQ7nhdYJFpYiYmMmPJkmzH2LB7N0u3bOET06RbagwA5UmZm242G6/PnZtjwicixVwmjTEaEXXFS/ttSWlXbJKsxMRENmzYQNeuXdOOGYZB165dWbduXabvWbduXYbrAbp165bl9QAJCQnExsZmeIm42tJNm7iYnExWC84eAs5cuMDq7dsLMyy3evPrr0kGHs7i/CBS/sEK++qrbMfZf/QoD5KSzFyuIdAB+PGPP7IdY+Fvv3Ej0DKTcx6kzM/hU6cwTTPLMd5dtAgz9drMPAQkQbYVsVOxsazZtYuHLCstqUmvG3CN3c63OSSe3/76K3dbFlUzOVcBuM80+TaHKtSiyEiq2O1ktiDQBjxkWWw6cIAjp05lO46IlBCX9tYKmEEYo694Xdpvy7H1lKpaUioVm8YXJ0+exOl0Ur169QzHq1evzs6dOzN9T3R0dKbXR0dHZ/n3TJw4kfHjx+c/YJFsXEhMBKBSFucrX7quFFWyzp4/D/xz75crB5QhpRlFdkyy/lwBqgLbk5OzHSMxOTnLOCAlRgtITk7G09Mz02vOX7wIQMVsxgA4d+FCln9PTl8nRur4F3L4TC4kJGT7mVQm56+1CwkJ+JNSWcxqDHIRi4iUMFl0v7jULGMxrQh3hKpZhpQ6xaaSVVhefPFFYmJi0l6HDh1yd0hSArWoWxeAn7I4f2nhVrM6dQojnCKhT/v22Pjn3i+3BrgIBDdunO045by8+DGLcxeAn4HaNWpkO8Z1gYH8CmRVx/6BlEYcWSVYAJ2aNQNgaRbnL93n7S0zq5elqFGxItXKlcvy6+QgsM3ppHkOXyfN69dnqWGQWd3NAn40DJrXr5/9GHXqsMfp5O8szi8BKvj4UEtdBkUEMiwrvFTVwnGEyZNV1ZLSodgkWVWqVMFut3Ps2LEMx48dO0aNLH5gqlGjRp6uB/Dy8sLPzy/DS8TVWtWvT1D9+rxkGJy+7NxRYLxh0K1FC+rlkAyUJLdefz2+np68TkpHwfTOASNIqWRNe+SRbMe5r2NHlgFfX3bcAsYAMcDEgQOzHWPykCFcBEbCFYnJT8A3QM8c2mkNuu02ypcpw/OkdBNM7wgwDqju50f7bLr6edjtPNyzJ58aBr9fdi4JeAYo5+1N/1tvzTaWx3r25G/T5J1Mzs0Atpomw3Lounpv+/ZUKVuWf9tsXF7z2gJ8aBgMueMOvLNJPEWkFLqsWUYnVqY9q6VkS0qyYpNkeXp60rp1a5YvX552zDRNli9fTnBwcKbvCQ4OznA9wLJly7K8XqQwffbMMxz18eEGw2AsMBd4EWhuGCT6+fHhE0+4OcLCt2j0aM4CLYBnSflMXgMaA5uAF+67L9vqEaQkYddWrsy9wL2kNKr4CAgmpUHD3W3bZls9AmjToAEDO3fmY1JawH8AzAH6A72Aqn5+/Off/852DMMw+PzZZ9mVGv/41PsZBdwAnLDZ+N/LL2c7BsCL995Li/r1udVm42HgS+Ad4EbDYJFhMHvECMr5+GQ7xi1Nm/JCnz48B9xhs/EZMAvoabPxOPDUnXdy+403ZjuGt6cn4SNHstwwaGEYTEmN5TGgnWHQ8NprGde/f473IyKlULqqVljAjLSqlhpjSElWrPbJ+uqrrxg0aBAfffQRQUFBTJ06lXnz5rFz506qV6/OAw88QGBgIBMnTgRSWrh37NiRSZMm0atXL+bOncvrr7/Oxo0bueGGG3L1d2qfLClI+6KjeePrrwlfsYLziYn4e3sz6PbbeeGeewionN1TQSXXb7t20fv11zl55gzJpPwmqKy3N1OGDuXhbt1yNUZiYiIPTJ3K4nXriHc6Aajs68vwu+5ibB4SgTe//pq3/vc/jp87B4CPYdDtppuY8+yzud7UOGLrVh778EP+PnwYJykPwjarV4/PnnqKG+vVy9UY8QkJvPPtt3z0/fccOnMGu83GXW3b8nyfPrS97rpcjWFZFvPWrOGdhQtZv3s3AK3r1uXpu+8mtFMnbLbMWmtcaeOePbyxYAFfr1tHsmkS4O/Pwz168Ozdd1Ne/0aKSG6Eh7PY0YpIgog41ZyAZpW135YUG7ndJ6tYJVkA06ZNS9uM+MYbb+S9996jbdu2AHTq1Ik6deowK1175vnz5/PKK6+kbUY8efJkbUYsRY7T6eR8QgLlvL1L3QbEWUlMTGT/8ePUqlwZnxwqNVkxTZOTsbF4e3rm67/fuPh44hMTqeLnd9Xzk5iYyMlz56jm75+rDYgzY1kWcRcu4O3pSZmrHAP+aXLh45VZD8bcSXY6uZCQQDkfn1wnaCIiaSIjISqKxY5WhBOKg0ACAtQYQ4q+EptkFTYlWSIiIiIFJDKSxRHliCSIKBrhIJBOnVTVkqIrt0lWsWnhLiIiIiIlTFAQIaS2e7+0hDCiM1FRaAmhFGtalyQiIiIi7qPGGFICKckSEREREfdLTbbSt3t3bD2ldu9SLCnJEhEREZGiI11V6/nKM1XVkmJJSZaIiIiIFC3plhBeqmrhOMLkyapqSfGgxhciIiIiUjSpMYYUU6pkiYiIiEjRpcYYUgwpyRIRERGRok+NMaQYUZIlIiIiIsWHGmNIMaAkS0RERESKFzXGkCJOjS9EREREpHhSYwwpolTJEhEREZHiS40xpAhSkiUiIiIixV8mjTFwHFFjDHELJVkiIiIiUnKkq2qFEq6qlriFkiwRcbnzFy9y7MwZkp3Oqx4jMSmJY2fOcCEhwYWRXZ3Y+HhOxMRgmqZb40h2Ojl+9ixxFy64NQ5XKUpzLCIljBpjiJup8YWIuMxvO3fy+rx5fL9hA6ZlUcnXlyF33MHL991HxXLlcjVG9JkzTPjqK2YvX865hAQ8DIPeN9/MK3370rxu3QK+g4y+//133pg/n9U7dwJwTcWKDOvVi+d698arTJlCi+NcfDwTFyxg5pIlnIiLA6Bbixa82LcvHW+4odDicBXHqVNMmDeP/y5fTlxiIh6GQZ927Xilb19uqF3b3eGJSEmixhjiJjbLsix3B1GUxcbG4u/vT8zcufj5+ro7HJEi67vff+ee116jMfCoaXINsBqYaRgE1qjBqsmTqeznl+0Yh0+e5JaRIzl/5gzDTJObgD3Ah4bBEbudn8LCuKVp04K/GWDad98x/OOP6WAYDDFNKgA/ALNtNm694Qa+GzeuUBKt2Ph4Oo8aRdTBgzxomtwGRAOfGAabLYs5zz1H3w4dCjwOVzl44gS3PPccF2NiGGaatAF2kzLHRz08WDZhAsGNG7s7TBEpiSIjISqK0Y5hRNEIB4EEBEBoqLsDk+IkPj6Wfv38iYmJwS+bn2uUZOVASZZIzi4mJnLNoEG0j49ngWWRPvXYBbQzDPp268YHjz2W7Tj3TpzI+vXrWZeapF0SD3S32ThSpQp/f/IJhlGwK50PnjhBvYce4knL4h3Alu5cBHC7zcabDz7Iv++6q0DjAHhh1iw++OYb1pgmLdIddwIDgcWenhyZPbvY/PvUe8IENv7xB+tMk4B0x88D3QyD41WrsvOjjwp8jkWkFAsP/6eqdao5Ac0qq6oluZbbJEvfxUQk3xasXcup8+eZclmCBXAdMNw0+e/y5Zy/eDHLMaLPnOGb335j1GUJFoAvMNmy2HviBMs2b3Zt8JmYuXQpZW02JpAxwQLoBNxrWcz4/vsCjyMpOZlPf/qJRy5LsADswFvAhcRE5kREFHgsrnDk1CkW/f47L12WYAGUBSaZJn8fO8bKrVvdEZ6IlBbpGmM8X3mmGmNIgVCSJSL5tu3gQerY7TTI4nxXIC4xkUMnT2Y5RtSRIzgtiy5ZnG8LlDUMth86lM9oc7bt4EFutiyyeoqsK7ArOhpnPhp75Maxs2c5df58lp9JAHC93V4on4kr7Dp8GDObOW4PeNtsxeZ+RKQYU2MMKWBKskQk38p6e3PGskjM4vzx1P/19fLKdoz0114uFrhomtmO4Splvb05bru8hvWP44CXh0eBL2m7dK9ZfSYmcJLsP9eiJKc5PgskWBa+np6FFZKIlHZBQRnavXdiZVpVS8mW5IeSLBHJt97BwcSYJvMyOWcBH9lstK5bl1pVqmQ5xo1161K7cmU+yuL8ZwA2GyE33ZT/gHPQ++ab2WyaZPb9NRH4zDC4JzgYWzaJmCtUKl+eTk2b8olhkFnz+O8Ah9PJPcHBBRqHq7Ru0IBaFStmOcczAQ/DoFchzLGISJp0Va2wgBlpVS0tIZT8UJIlIvl2/bXX0jsoiMcNgwWkNGUAOA08BSy1LF7u1y/bpMRut/NS3758AbxCSuUKIAn4HHjRZuPBrl0JqFy54G4kVUhQEM1r1aKPYfALKYkiwCHgPpuNgzYbz91zT4HHAfBi376sM00e4p8KkElKgjXEMOhyww0ENWpUKLHkl4fdzot9+zIbGAucSz2eCHwKvGKz8dAdd1CjYkW3xSgipVhqspW+qoXjiKpaclXUXTAH6i4okjtxFy7Q7403+H7jRgLsdgKAv0wT0zB45+GHebxnzxzHsCyL1+bNY9wXX+Bjs9HYZuMgcNzp5P5bb+Wzp58utP2pHKdOETJ+PBv376ee3Y4/sMXppJy3N3NGjuTOQqy2/Gf5coZNn47pdNLMMDgOHHI66Xz99fzv5ZdzvQdZUWBZFq/Oncurc+fimzrHB4ATTiehHTvy6VNP4VmIe5CJiGQqtd37YkcrwglVu3dJoxbuLqIkSyRvfv/7b75avZrY+HgaBgQw6LbbqFahQp7GOHzyJP9ZsYL9x49TuXx5BnTsSLM6dQok3uyYpsnyLVtY/PvvJCQl0bJePQZ07Eh5N/xbcCo2lv+uXMn2Q4co5+NDn+Bg2jVpUuBLFgvKoRMn+M+KFRw4cYIq5cszoFMnbUQsIkVPZCSLI8oRSVDa3lqdOqnde2mmJMtFlGSJiIiIlGLpqlqRBBFBZwIC0N5apZT2yRIRERERyS81xpCroCRLRERERCQnaowheaAkS0REREQkt9JVtUIJV1VLMqUkS0REREQkL9ItIUxf1Zo8WVUtSeHh7gBERERERIqloCBCiCQkasY/jTEiOhMVpcYYpZ2SLBERERGRqxUUlJJsRaYkW6MdEOVoRIQjMC3ZyuwtUrIpyRIRERERya/UZCss/J+qVpSjEVEEXnGpKl0ln5IsERERERFXCQ1Nq2otdrSCTJKs8K3NiXA0V7JVginJEhERERFxpXRLCGHXFadDWMxox7C0ZYWX3iIlh5IsEREREZGCkFXmdNmyQjXLKHnUwl1EREREpLCl22+r06kF2m+rhFGSJSIiIiLiDqn7bYX12ZJhv63wcO23VdwpyRIRERERcaegoLSqVijhsPXPtKqWkq3iSUmWiIiIiIi7pVa1QjrF8VWz19KqWhERSrSKIzW+EBEREREpKjLZb0uNMYofJVmlwIWEBBb8+it/HTiAr5cXd998My3q1nV3WFLEmKbJij//ZOXWrViWRfsmTejeqhV2uz1P4+w6fJgFv/5KzPnzNAoMpO8tt1De17eAohYRESmh0u23NXrrKaIIJsIRSFQUhIa6OzjJic2yLMvdQRRlsbGx+Pv7EzN3Ln7F8AfF737/nUFTpnA6Pp56djtnLIszpklI69aEjxxZLO9JXG9vdDR3h4Wx9dAhatrt2IHDTicNq1dn4ejRXH/ttTmOcTExkYfee485q1bhZxhUtdnY53RS1suLD594ggGdOhX4fYiIiJRIkZEsjihHJEFE0QgCAlXVcpP4+Fj69fMnJiYGPz+/LK/TM1kl2Ppdu7jntde45cIF/gb2OJ0cM02+AH7ZtIn7Jk5EObbExsfT9aWXuHjkCBHAEaeTg04n6wCfEyfo+tJLHD97NsdxHn7/ff63ejUfA8dMk91OJ/uBuxISGPj22yzZsKEgb0NERKTkUmOMYkdJVgn2+rx5XAcssCwapB4rA/QHZpkmP23ZwvpdV+5CLqXL7BUrOHjyJD+ZJh0BW+rrZmCpaRIbF8dHS5ZkO0bUkSOE//IL71kWDwPeqcdrAf8BOthshH35ZQHehYiISAmnxhjFipKsEio+IYHv/viDR02TMpmcvwu4xm5n3tq1hR2aFDHzVq2iF5DZU3rVgX+ZJvN++SXbMRasXUt5w2BgJucM4HHL4teoKI6cOpX/gEVEREqzS3trpVa1OrFSVa0iSElWCXX+4kVMyyIwi/MGEEDKUjEp3WLPn8/y6wTgGnL+Oom9cIEqNltaBSuzMcjFOCIiIpJLqVWtsIAZdDq1IK2qFR7u7sAElGSVWJXKlaNy2bKszuL8aeBP06RRQEBhhiVFUKNatVhtGGT1dN4vhkGja67J4myK6wIDOeB0ciCrMQBvDw+uqVw5P6GKiIhIepeqWn22pFW1cBxRVasIUJJVQtntdoZ268ZMw2D7ZecsYAxgGgaDu3RxQ3RSlDzSvTt/mSb/yeTct8Aa0+TRnj2zHeO+W26hvLc3owDnZecOAu8ZBvd36qRW7iIiIgVBjTGKHCVZJdiL995LncBA2hsGr5BSTZgP3GGzMR145+GHqVahgltjFPfr0qIFQ7t25UFgEPAjsBR4BLjXZqPPzTfT++absx2jrLc3Hw0fzjybjVsNgznAKmACcJNh4FupEq8NzOyJLREREXEJNcYoUrRPVg6K+z5ZZ+LiGDNnDv/5+WfOJSQA0KZePV7q25fewcFujk6KCtM0eW/xYt795hv2pzanCKxQgSdCQhh5zz145HJD4mWbNhH25Zes3rkTAJ8yZejfsSMTQkOpWalSgcUvIiIilwkPZ7GjFZEEEUFnAgLQ3loukNt9spRk5aC4J1mXxCckcPjkSXy9vLimShV3hyNFlNPpZP/x41iWRZ3q1XOdXF3u6OnTxMbHE1i5MuV8fFwcpYiIiORKZCRERTF667+IqhyMg0ACAiA01N2BFV9KslykpCRZIiIiIlJKRUayOKIckQQRRSMICFRV6yrlNskqNs9knT59mgEDBuDn50eFChUYOnQocXFx2V4/fPhwrrvuOnx8fLj22mt56qmniImJKcSoRURERETcTI0xCl2xSbIGDBjAtm3bWLZsGd999x2rVq3ikUceyfJ6h8OBw+Hgrbfe4q+//mLWrFksWbKEoUOHFmLUIiIiIiJFgBpjFKpisVxwx44dNG3alN9//502bdoAsGTJEnr27Mnhw4cJyOVeT/Pnzyc0NJTz58/j4eGRq/douaCIiIiIlDhqjHFVStRywXXr1lGhQoW0BAuga9euGIbB+vXrcz3OpQ8juwQrISGB2NjYDC8RERERkRIltaoVFjCDTqcWpFW1wsPdHVjJUCySrOjoaKpVq5bhmIeHB5UqVSI6OjpXY5w8eZKwsLBslxgCTJw4EX9//7RXrVq1rjpuEREREZEiK3UJYVifLYQSnraEUM9q5Z9bk6xRo0Zhs9myfe1M3W8nP2JjY+nVqxdNmzZl3Lhx2V774osvEhMTk/Y6dOhQvv9+EREREZEiS40xXC53DyYVkGeffZbBgwdne029evWoUaMGx48fz3A8OTmZ06dPU6NGjWzff+7cObp370758uVZuHAhZcqUyfZ6Ly8vvLy8chW/iIiIiEiJEBSUkmxFRhIS9RqjHcOIcjQiwhGYdlpyz61JVtWqValatWqO1wUHB3P27Fk2bNhA69atAVixYgWmadK2bdss3xcbG0u3bt3w8vJi0aJFeHt7uyx2EREREZESJzXZCguf8U9jjIjOREWpMUZeFItnspo0aUL37t15+OGHiYyMZO3atTz55JP069cvrbPgkSNHaNy4MZGpNc3Y2FjuuOMOzp8/z6effkpsbCzR0dFER0fjdDrdeTsiIiIiIkWbGmPki1srWXkxZ84cnnzySbp06YJhGPTp04f33nsv7XxSUhK7du0iPj4egI0bN6Z1HmzQoEGGsfbt20edOnUKLXYRERERkWLnUlUrMpLFEXuIJIgoRyPCwwNV1cpBsdgny520T5aIiIiIlHqRkRAVxWJHK8JP9cBRuXmp3FurRO2TJSIiIiIibpTa7j2kUxxfNXstrd17RIQ6EGam2CwXFBERERERN1NjjFxRJUtERERERPJGjTGypSRLRERERETyLnUJYVifLYQSnraEUJsYa7mgFDOOU6d48L33+GXLFi6aJmWApnXrMn3YMNo3aVKosYSvXMkr4eEcPnECEyjn6UmfDh346LHH8PT0LLQ4kpKTmbl0KTO+/55thw9T1suLe9q149nevbmhdu1Ci8NVYuPjmfbdd3y6ZAn7T52ictmy3N+5M8/efTe1crGvHoBlWcxdtYppixfz++7deNjtdG/Vimd796Z906YFfAciIiKlTFAQIUQSEpWyhDB8aw8iHM1L9RJCdRfMgboLFh37oqNp/sQTJCYl0R9oC+wDZgLngC+ff557b7mlUGIZ+dlnTPnmG2oDQ4GKwPfAEqBW5cr8/dFHhZJoJSYlcVdYGMu2bOEuoItlcRyYZRgcMwwWjR7N7S1bFngcrnL63Dk6jxpF1OHD9LcsgoA9wOeGgeHry4qJE3NMHC3LYtj06Xy8dCldbTb+z7I4D4QbBttNk5nDh/Pg7bcXxu2IiIiUPqldCEc7hhFFIxwE0qlT5pcWx+Qrt90FlWTlQElW0dF42DCOOhysAZqlO34a6Azstts597//YRgFuwp215EjNH3sMe4FwoEy6c59DdwL9O/YkTnPPlugcQBMWrCAMf/9Lz9YFl3THb8I3GOz8ZuPD4dmzaKst3eBx+IKQ6ZOZVFEBKtMk+vTHT8F3GYYWAEBbJk+HZvNluUY89asoe/kyXwODE533AQeAz612dj98cfUqV69IG5BREREAMLD0xpjRAV0zvKy4lbpUgt3KVEOHDvG3w4HL5AxwQKoBLwLxDudTF20qMBjGfHpp9iB6WRMsADuAUKAb9euLfA4TNPkg8WLGXhZggXgDUy3LM7GxzN31aoCj8UVTp87x5e//MLzlyVYAJWBKabJ1sOHWbN9e7bjTF+8mE6GkSHBgpR/7N4GytlsfPzTTy6LW0RERDKRrjFGqOMNQgm/4lWSm2UoyZJi4afNmzFJSWAy0xHwBZb/+WeBx7J1/36CgSpZnL8LOJ+cTFx8fIHGcSImhkNnzmT5mdQFmtvt/LF7d4HG4SrbDh4kwenM8n66AD42W473s2HPHkJMM9NzZYHbTJM//v47X7GKiIhILqTbWyuk0a4rXumbZUyeXLKaZajxhRQLvqnPN53L4nwCkAR4l7m8tuR6Zex2YrM5fylGT4+C/c/LM/Ves/pMrNRznoXwmbjCpc8rq/u5QMoc5/S5etrtWY4BcM5mK5SvExEREUmVxXrA9M0yStp+W6pkSbFwT3AwnjYbs7I4/xUpP4AP6969wGPpddNNbAa2ZnLOBD4Hqvn5FXjji4rlynFzgwbMstnI7MHKNcBep5NebdoUaByu0rJePaqXL5/lHH8JOC2L7q1aZTtOz6Ag/mu3k5zJuYPACsui10035S9YERERyb90la6wgBlpVa2SsIRQSZYUC77e3tzeujWfANMg7QdoC/gZGA4EVqhQKJ30Xg8NxdswuAfYme54HPAEsAV4vk+fAo8D4Pl//YsVlsWLpFR6LtkEhBoGN9auTdcWLQollvzyLFOGZ+65h4+AD8g4xz8BIwyDPsHB1K9ZM9txnrnrLvabJoOBs+mO7wN6GwbV/PwY0LGjy+MXERGRq3Rpv62AGSVmvy0lWVJsfPPSSzSrXZvhwDWkPPt0A3A74OHjw69TphRKHOV8fVk0diyHDIMmQDvgTqA68BEwsFMnnu3du1Bi6R0czJtDhjAZCDQM/g9oaxi0AsrVqMGiMWMKvNuiK43s3ZthPXrwBFDXbuduoJlh0B1o3aQJnz79dI5jtG7QgDnPPcd8u51Am41eQCebjfrA0fLlWRIWRnl1ChURESl60jfLKOaNMdTCPQdq4V70fPnLL0xcsIDoM2co7+PDkK5dGdWnDx4F/AzU5U7HxjJq9mx+2LCB5ORkGgYEMHnIEIIbNy7UOAB2Oxx8snQp2w4epKy3N/cEB9P75puLzfNYl9u4Zw+fLlvG/mPHqJxaebr9xhvzlDAePX2amUuX8vvff1PGw4PurVpxf8eOxaadvYiISKkWGcniiHIpLeDT7bfl7me1tE+WiyjJEhERERFxg9SNjdMaY9CZgAD3NsbQPlkiIiIiIlJ8FePGGEqyRERERESk6CqGjTGUZImIiIiISNFXjBpjKMkSEREREZHiId0SwvRVrcmTi1ZVq3DbsYmIiIiIiORXUBAhRBISNeOfxhgRnYmKcm9jjEtUyRIRERERkeKnCDfGUJIlIiIiIiLFVxFsjKEkS0REREREir8i1BhDSZaIiIiIiJQMRaQxhhpfiIiIiIhIyeLmxhiqZImIiIiISMnjxsYYSrJERERERKTkckNjDCVZIiIiIiJS8hViYwwlWSIiIiIiUjoUUmMMNb4QEREREZHSpYAbY6iSJSIiIiIipU8BNsZQkiUiIiIiIqVXATTGUJIlIiIiIiLiwsYYSrJERERERETAZY0x1PhCREREREQkvSwaY2zblru3K8kSERERERG5XFBQSrIVmZJsjXbAtqM1c/VWLRcUERERERHJSrrGGH35KldvUSVLREREREQkJ6Gh9IiPh345X6pKloiIiIiIiAspyRIREREREXEhLRfMgWVZAMTGx7s5EhERERERcadLOcGlHCErNiunK0q5w4cPU6tWLXeHISIiIiIiRcShQ4e45pprsjyvJCsHpmnicDgoX748Npst22tjY2OpVasWhw4dws/Pr5AilJxoXoomzUvRpHkpmjQvRZPmpWjSvBRNJWVeLMvi3LlzBAQEYBhZP3ml5YI5MAwj2yw1M35+fsX6i6ek0rwUTZqXoknzUjRpXoomzUvRpHkpmkrCvPj7++d4jRpfiIiIiIiIuJCSLBERERERERdSkuVCXl5ejB07Fi8vL3eHIuloXoomzUvRpHkpmjQvRZPmpWjSvBRNpW1e1PhCRERERETEhVTJEhERERERcSElWSIiIiIiIi6kJEtERERERMSFlGSJiIiIiIi4kJKsfDp9+jQDBgzAz8+PChUqMHToUOLi4nL1Xsuy6NGjBzabjW+++aZgAy1l8jovp0+fZvjw4Vx33XX4+Phw7bXX8tRTTxETE1OIUZc806dPp06dOnh7e9O2bVsiIyOzvX7+/Pk0btwYb29vmjVrxg8//FBIkZYueZmXTz75hA4dOlCxYkUqVqxI165dc5xHuTp5/e/lkrlz52Kz2bj77rsLNsBSKq/zcvbsWZ544glq1qyJl5cXjRo10r9lBSCv8zJ16tS07/G1atXimWee4eLFi4UUbcm3atUqQkJCCAgIyPXPtREREbRq1QovLy8aNGjArFmzCjzOQmVJvnTv3t1q0aKF9dtvv1mrV6+2GjRoYPXv3z9X73377betHj16WIC1cOHCgg20lMnrvGzdutW65557rEWLFlm7d++2li9fbjVs2NDq06dPIUZdssydO9fy9PS0PvvsM2vbtm3Www8/bFWoUME6duxYptevXbvWstvt1uTJk63t27dbr7zyilWmTBlr69athRx5yZbXebn//vut6dOnW5s2bbJ27NhhDR482PL397cOHz5cyJGXbHmdl0v27dtnBQYGWh06dLDuuuuuwgm2FMnrvCQkJFht2rSxevbsaa1Zs8bat2+fFRERYW3evLmQIy/Z8jovc+bMsby8vKw5c+ZY+/bts3766SerZs2a1jPPPFPIkZdcP/zwg/Xyyy9bX3/9da5+rt27d6/l6+trjRgxwtq+fbv1/vvvW3a73VqyZEnhBFwIlGTlw/bt2y3A+v3339OO/fjjj5bNZrOOHDmS7Xs3bdpkBQYGWkePHlWS5WL5mZf05s2bZ3l6elpJSUkFEWaJFxQUZD3xxBNpf3Y6nVZAQIA1ceLETK+/7777rF69emU41rZtW+vRRx8t0DhLm7zOy+WSk5Ot8uXLW//5z38KKsRS6WrmJTk52WrXrp01c+ZMa9CgQUqyCkBe5+XDDz+06tWrZyUmJhZWiKVSXufliSeesG677bYMx0aMGGG1b9++QOMsrXLzc+3zzz9vXX/99RmO9e3b1+rWrVsBRla4tFwwH9atW0eFChVo06ZN2rGuXbtiGAbr16/P8n3x8fHcf//9TJ8+nRo1ahRGqKXK1c7L5WJiYvDz88PDw6MgwizREhMT2bBhA127dk07ZhgGXbt2Zd26dZm+Z926dRmuB+jWrVuW10veXc28XC4+Pp6kpCQqVapUUGGWOlc7L6+++irVqlVj6NChhRFmqXM187Jo0SKCg4N54oknqF69OjfccAOvv/46TqezsMIu8a5mXtq1a8eGDRvSlhTu3buXH374gZ49exZKzHKl0vA9Xz895kN0dDTVqlXLcMzDw4NKlSoRHR2d5fueeeYZ2rVrx1133VXQIZZKVzsv6Z08eZKwsDAeeeSRggixxDt58iROp5Pq1atnOF69enV27tyZ6Xuio6MzvT63cyY5u5p5udwLL7xAQEDAFd8c5epdzbysWbOGTz/9lM2bNxdChKXT1czL3r17WbFiBQMGDOCHH35g9+7dPP744yQlJTF27NjCCLvEu5p5uf/++zl58iS33HILlmWRnJzMsGHDeOmllwojZMlEVt/zY2NjuXDhAj4+Pm6KzHVUycrEqFGjsNls2b5y+wPJ5RYtWsSKFSuYOnWqa4MuBQpyXtKLjY2lV69eNG3alHHjxuU/cJESYtKkScydO5eFCxfi7e3t7nBKrXPnzjFw4EA++eQTqlSp4u5wJB3TNKlWrRoff/wxrVu3pm/fvrz88svMmDHD3aGVahEREbz++ut88MEHbNy4ka+//prvv/+esLAwd4cmJZgqWZl49tlnGTx4cLbX1KtXjxo1anD8+PEMx5OTkzl9+nSWywBXrFjBnj17qFChQobjffr0oUOHDkREROQj8pKtIOflknPnztG9e3fKly/PwoULKVOmTH7DLpWqVKmC3W7n2LFjGY4fO3YsyzmoUaNGnq6XvLuaebnkrbfeYtKkSfz88880b968IMMsdfI6L3v27GH//v2EhISkHTNNE0ip2u/atYv69esXbNClwNX891KzZk3KlCmD3W5PO9akSROio6NJTEzE09OzQGMuDa5mXkaPHs3AgQN56KGHAGjWrBnnz5/nkUce4eWXX8YwVHMobFl9z/fz8ysRVSxQJStTVatWpXHjxtm+PD09CQ4O5uzZs2zYsCHtvStWrMA0Tdq2bZvp2KNGjeLPP/9k8+bNaS+Ad955h88//7wwbq/YKsh5gZQK1h133IGnpyeLFi3Sb+rzwdPTk9atW7N8+fK0Y6Zpsnz5coKDgzN9T3BwcIbrAZYtW5bl9ZJ3VzMvAJMnTyYsLIwlS5ZkeNZRXCOv89K4cWO2bt2a4fvI//3f/9G5c2c2b95MrVq1CjP8Eutq/ntp3749u3fvTkt6AaKioqhZs6YSLBe5mnmJj4+/IpG6lAhbllVwwUqWSsX3fHd33ijuunfvbrVs2dJav369tWbNGqthw4YZWoUfPnzYuu6666z169dnOQbqLuhyeZ2XmJgYq23btlazZs2s3bt3W0ePHk17JScnu+s2irW5c+daXl5e1qxZs6zt27dbjzzyiFWhQgUrOjrasizLGjhwoDVq1Ki069euXWt5eHhYb731lrVjxw5r7NixauFeAPI6L5MmTbI8PT2tBQsWZPjv4ty5c+66hRIpr/NyOXUXLBh5nZeDBw9a5cuXt5588klr165d1nfffWdVq1bNmjBhgrtuoUTK67yMHTvWKl++vPXll19ae/futZYuXWrVr1/fuu+++9x1CyXOuXPnrE2bNlmbNm2yAOvtt9+2Nm3aZB04cMCyLMsaNWqUNXDgwLTrL7VwHzlypLVjxw5r+vTpauEuGZ06dcrq37+/Va5cOcvPz88aMmRIhh8+9u3bZwHWypUrsxxDSZbr5XVeVq5caQGZvvbt2+eemygB3n//fevaa6+1PD09raCgIOu3335LO9exY0dr0KBBGa6fN2+e1ahRI8vT09O6/vrrre+//76QIy4d8jIvtWvXzvS/i7FjxxZ+4CVcXv97SU9JVsHJ67z8+uuvVtu2bS0vLy+rXr161muvvaZf1hWAvMxLUlKSNW7cOKt+/fqWt7e3VatWLevxxx+3zpw5U/iBl1BZ/Rx1aR4GDRpkdezY8Yr33HjjjZanp6dVr1496/PPPy/0uAuSzbJUJxUREREREXEVPZMlIiIiIiLiQkqyREREREREXEhJloiIiIiIiAspyRIREREREXEhJVkiIiIiIiIupCRLRERERETEhZRkiYiIiIiIuJCSLBERERERERdSkiUiIsXC4MGDsdlsV7x2797tkvFnzZpFhQoVXDLW1Vq1ahUhISEEBARgs9n45ptv3BqPiIhcHSVZIiJSbHTv3p2jR49meNWtW9fdYV0hKSnpqt53/vx5WrRowfTp010ckYiIFCYlWSIiUmx4eXlRo0aNDC+73Q7At99+S6tWrfD29qZevXqMHz+e5OTktPe+/fbbNGvWjLJly1KrVi0ef/xx4uLiAIiIiGDIkCHExMSkVcjGjRsHkGlFqUKFCsyaNQuA/fv3Y7PZ+Oqrr+jYsSPe3t7MmTMHgJkzZ9KkSRO8vb1p3LgxH3zwQbb316NHDyZMmEDv3r1d8GmJiIi7eLg7ABERkfxavXo1DzzwAO+99x4dOnRgz549PPLIIwCMHTsWAMMweO+996hbty579+7l8ccf5/nnn+eDDz6gXbt2TJ06lTFjxrBr1y4AypUrl6cYRo0axZQpU2jZsmVaojVmzBimTZtGy5Yt2bRpEw8//DBly5Zl0KBBrv0ARESkSFGSJSIixcZ3332XIfnp0aMH8+fPZ/z48YwaNSotealXrx5hYWE8//zzaUnWv//977T31alThwkTJjBs2DA++OADPD098ff3x2azUaNGjauK7d///jf33HNP2p/Hjh3LlClT0o7VrVuX7du389FHHynJEhEp4ZRkiYhIsdG5c2c+/PDDtD+XLVsWgC1btrB27Vpee+21tHNOp5OLFy8SHx+Pr68vP//8MxMnTmTnzp3ExsaSnJyc4Xx+tWnTJu3/nz9/nj179jB06FAefvjhtOPJycn4+/vn++8SEZGiTUmWiIgUG2XLlqVBgwZXHI+Li2P8+PEZKkmXeHt7s3//fu68804ee+wxXnvtNSpVqsSaNWsYOnQoiYmJ2SZZNpsNy7IyHMusscWlhO9SPACffPIJbdu2zXDdpWfIRESk5FKSJSIixV6rVq3YtWtXpgkYwIYNGzBNkylTpmAYKT2f5s2bl+EaT09PnE7nFe+tWrUqR48eTfvz33//TXx8fLbxVK9enYCAAPbu3cuAAQPyejsiIlLMKckSEZFib8yYMdx5551ce+213HvvvRiGwZYtW/jrr7+YMGECDRo0ICkpiffff5+QkBDWrl3LjBkzMoxRp04d4uLiWL58OS1atMDX1xdfX19uu+02pk2bRnBwME6nkxdeeIEyZcrkGNP48eN56qmn8Pf3p3v37iQkJPDHH39w5swZRowYkel74uLiMuz7tW/fPjZv3kylSpW49tpr8/chiYhIoVELdxERKfa6devGd999x9KlS7npppu4+eabeeedd6hduzYALVq04O233+aNN97ghhtuYM6cOUycODHDGO3atWPYsGH07duXqlWrMnnyZACmTJlCrVq16NChA/fffz/PPfdcrp7heuihh5g5cyaff/45zZo1o2PHjsyaNSvbfb3++OMPWrZsScuWLQEYMWIELVu2ZMyYMVf70YiIiBvYrMsXmouIiIiIiMhVUyVLRERERETEhZRkiYiIiIiIuJCSLBERERERERdSkiUiIiIiIuJCSrJERERERERcSEmWiIiIiIiICynJEhERERERcSElWSIiIiIiIi6kJEtERERERMSFlGSJiIiIiIi4kJIsERERERERF1KSJSIiIiIi4kL/D5UpErJ8Q7F+AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Train an SGDClassifier on the binary dataset\n",
    "N_ITERATIONS = 15\n",
    "RANDOM_STATE = 42\n",
    "\n",
    "np.random.seed(RANDOM_STATE)\n",
    "\n",
    "model_binary_sklearn = SklearnSGDClassifier(random_state=RANDOM_STATE, max_iter=N_ITERATIONS)\n",
    "\n",
    "model_binary_sklearn.fit(X_binary, y_binary)\n",
    "\n",
    "y_pred_binary_sklearn = model_binary_sklearn.predict(X_binary)\n",
    "\n",
    "accuracy_binary_sklearn = accuracy_score(y_binary, y_pred_binary_sklearn)\n",
    "\n",
    "plot_decision_boundary(\n",
    "    X_binary,\n",
    "    y_binary,\n",
    "    clf=model_binary_sklearn,\n",
    "    accuracy=accuracy_binary_sklearn,\n",
    "    title=\"Scikit-Learn decision boundary\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training on Encrypted Data with Concrete ML\n",
    "\n",
    "Training over encrypted data in FHE using SGD. Compared to the equivalent scikit-learn class, two new parameters need to be set: `fit_encrypted=True` and `parameters_range`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compiling training circuit on device 'cpu'...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compilation took 2.3572 seconds.\n",
      "Key Generation...\n",
      "Key generation took 6.2307 seconds.\n",
      "Training on encrypted data...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 0 took 4.69 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 1 took 2.54 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 2 took 2.87 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 3 took 2.20 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 4 took 2.19 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 5 took 2.50 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 6 took 2.28 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 7 took 2.46 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 8 took 2.23 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 9 took 3.14 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 10 took 2.41 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 11 took 2.20 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 12 took 2.19 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 13 took 2.19 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 14 took 2.33 seconds.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters_range = (-1.0, 1.0)\n",
    "\n",
    "model_binary_fhe = SGDClassifier(\n",
    "    random_state=RANDOM_STATE,\n",
    "    max_iter=N_ITERATIONS,\n",
    "    fit_encrypted=True,\n",
    "    parameters_range=parameters_range,\n",
    "    verbose=True,\n",
    ")\n",
    "\n",
    "# Fit on encrypted data\n",
    "model_binary_fhe.fit(X_binary, y_binary, fhe=\"execute\", device=device)\n",
    "\n",
    "# The weights are decrypted at the end of the `fit` call. Use the clear weights here\n",
    "# to evaluate accuracy on clear data\n",
    "y_pred_binary = model_binary_fhe.predict(X_binary)\n",
    "\n",
    "model_binary_fhe.compile(X_binary)\n",
    "\n",
    "# Evaluate the decrypted weights on encrypted data\n",
    "y_pred_binary_fhe = model_binary_fhe.predict(X_binary, fhe=\"execute\")\n",
    "\n",
    "# Check that the same result is obtained when applying\n",
    "# the decrypted model on clear data and on encrypted data\n",
    "# Linear classifiers are 100% correct on encrypted data compared to execution on clear data\n",
    "assert np.all(y_pred_binary == y_pred_binary_fhe)\n",
    "\n",
    "accuracy_binary_fhe = accuracy_score(y_binary, y_pred_binary_fhe)\n",
    "\n",
    "plot_decision_boundary(\n",
    "    X_binary,\n",
    "    y_binary,\n",
    "    clf=model_binary_fhe,\n",
    "    accuracy=accuracy_binary_fhe,\n",
    "    title=\"Concrete ML (training on encrypted data with FHE) decision boundary\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Validate Encrypted Training using Simulation\n",
    "\n",
    "FHE simulation is a way to test an FHE program on cleartext data, providing a fast way\n",
    "to determine the behavior of an algorithm over encrypted data. Inputs and results of FHE simulation are not encrypted\n",
    "but the the results are quickly obtained so they can be analyzed to show if any errors are introduced by the execution\n",
    "of the algorithm with FHE.\n",
    "\n",
    "### Get a different dataset that has more features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X, y = datasets.load_breast_cancer(return_X_y=True)\n",
    "x_train, x_test, y_train, y_test = train_test_split(X, y, test_size=0.3, stratify=y)\n",
    "\n",
    "scaler = MinMaxScaler(feature_range=(-1, 1))\n",
    "x_train = scaler.fit_transform(x_train)\n",
    "x_test = scaler.transform(x_test)\n",
    "\n",
    "rng = np.random.default_rng(RANDOM_STATE)\n",
    "perm = rng.permutation(x_train.shape[0])\n",
    "\n",
    "x_train = x_train[perm, ::]\n",
    "y_train = y_train[perm]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Configure the FHE training algorithm and simulate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sklearn clear accuracy: 95.91%\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Full encrypted fit (simulated) accuracy: 93.57%\n"
     ]
    }
   ],
   "source": [
    "parameters_range = (-1.0, 1.0)\n",
    "\n",
    "model_sklearn = SklearnSGDClassifier(\n",
    "    random_state=RANDOM_STATE,\n",
    "    max_iter=N_ITERATIONS,\n",
    ")\n",
    "\n",
    "model_sklearn.fit(x_train, y_train)\n",
    "\n",
    "y_pred_sklearn = model_sklearn.predict(x_test)\n",
    "\n",
    "accuracy_sklearn = accuracy_score(y_test, y_pred_sklearn)\n",
    "\n",
    "print(f\"Sklearn clear accuracy: {accuracy_sklearn*100:.2f}%\")\n",
    "\n",
    "model_concrete = SGDClassifier(\n",
    "    random_state=RANDOM_STATE,\n",
    "    max_iter=N_ITERATIONS,\n",
    "    fit_encrypted=True,\n",
    "    parameters_range=parameters_range,\n",
    ")\n",
    "\n",
    "# Train with simulation on the full dataset\n",
    "model_concrete.fit(x_train, y_train, fhe=\"simulate\")\n",
    "\n",
    "model_concrete.compile(x_train)\n",
    "\n",
    "# Measure accuracy on the test set using simulation\n",
    "y_pred_fhe = model_concrete.predict(x_test, fhe=\"simulate\")\n",
    "\n",
    "accuracy_fhe = accuracy_score(y_test, y_pred_fhe)\n",
    "print(f\"Full encrypted fit (simulated) accuracy: {accuracy_fhe*100:.2f}%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Evaluate accuracy evolution during training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# To measure accuracy after every batch initialize the SGDClassifier with warm_start=True\n",
    "# which keeps the weights obtained with previous batches\n",
    "\n",
    "model_concrete_partial = SGDClassifier(\n",
    "    random_state=RANDOM_STATE,\n",
    "    max_iter=N_ITERATIONS,\n",
    "    fit_encrypted=True,\n",
    "    parameters_range=parameters_range,\n",
    "    warm_start=True,\n",
    ")\n",
    "\n",
    "batch_size = model_concrete_partial.batch_size\n",
    "\n",
    "classes = np.unique(y_train)\n",
    "\n",
    "# Go through the training batches\n",
    "accuracy_scores = []\n",
    "for idx in range(x_train.shape[0] // batch_size):\n",
    "    batch_range = range(idx * batch_size, (idx + 1) * batch_size)\n",
    "    x_batch = x_train[batch_range, ::]\n",
    "    y_batch = y_train[batch_range]\n",
    "\n",
    "    # Fit on a single batch with partial_fit\n",
    "    # Provide the list of all expected classes for the first iteration, as done in scikit-learn\n",
    "    if idx == 0:\n",
    "        model_concrete_partial.partial_fit(x_batch, y_batch, classes=classes, fhe=\"simulate\")\n",
    "    else:\n",
    "        model_concrete_partial.partial_fit(x_batch, y_batch, fhe=\"simulate\")\n",
    "\n",
    "    model_concrete_partial.compile(x_train)\n",
    "\n",
    "    # Measure accuracy of the model with FHE simulation\n",
    "    y_pred_partial_fhe = model_concrete_partial.predict(x_test, fhe=\"simulate\")\n",
    "\n",
    "    accuracy_partial = accuracy_score(y_test, y_pred_partial_fhe)\n",
    "    accuracy_scores.append(accuracy_partial)\n",
    "\n",
    "# Plot the evolution of accuracy throughout the training process\n",
    "fig = plt.figure()\n",
    "plt.plot(accuracy_scores)\n",
    "plt.title(f\"Accuracy evolution on breast-cancer. Final accuracy {accuracy_scores[-1]*100:.2f}%\")\n",
    "plt.xlabel(\"Batch number\")\n",
    "plt.ylabel(\"Accuracy\")\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Deployment\n",
    "\n",
    "In this section, we will prepare a model for deployment. This involves initializing the model with the necessary parameters and compiling it with sample data to ensure it is ready for production."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SGDClassifier(fit_encrypted=True, max_iter=15, parameters_range=(-1.0, 1.0),\n",
       "              random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SGDClassifier</label><div class=\"sk-toggleable__content\"><pre>SGDClassifier(fit_encrypted=True, max_iter=15, parameters_range=(-1.0, 1.0),\n",
       "              random_state=42)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "SGDClassifier(fit_encrypted=True, max_iter=15, parameters_range=(-1.0, 1.0),\n",
       "              random_state=42)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Initialize the model with parameters\n",
    "parameters_range = (-1.0, 1.0)\n",
    "batch_size = 8\n",
    "\n",
    "sgd_clf_binary_fhe = SGDClassifier(\n",
    "    random_state=RANDOM_STATE,\n",
    "    max_iter=N_ITERATIONS,\n",
    "    fit_encrypted=True,\n",
    "    parameters_range=parameters_range,\n",
    ")\n",
    "\n",
    "# Generate the min and max values for X_binary and y_binary\n",
    "x_min, x_max = X_binary.min(axis=0), X_binary.max(axis=0)\n",
    "y_min, y_max = y_binary.min(), y_binary.max()\n",
    "\n",
    "# Create a dataset with the min and max values for each feature, repeated to fill the batch size\n",
    "x_compile_set = np.vstack([x_min, x_max] * (batch_size // 2))\n",
    "\n",
    "# Create a dataset with the min and max values for y, repeated to fill the batch size\n",
    "y_compile_set = np.array([y_min, y_max] * (batch_size // 2))\n",
    "\n",
    "# Fit the model with the created dataset to compile it for production\n",
    "# This step ensures the model knows the number of features, targets and features distribution\n",
    "\n",
    "\n",
    "device = \"cuda\" if check_gpu_available() else \"cpu\"\n",
    "sgd_clf_binary_fhe.fit(x_compile_set, y_compile_set, fhe=\"disable\", device=device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the directory where to save the deployment files\n",
    "DEPLOYMENT_PATH = Path(\"fhe_training\")\n",
    "DEPLOYMENT_PATH.mkdir(exist_ok=True)\n",
    "\n",
    "deployment_dir = TemporaryDirectory(dir=str(DEPLOYMENT_PATH))  # pylint: disable=consider-using-with\n",
    "deployment_path = Path(deployment_dir.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the training FHE circuit for production\n",
    "fhe_dev = FHEModelDev(deployment_path, sgd_clf_binary_fhe)\n",
    "fhe_dev.save(mode=\"training\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# On the client side, load the circuit.zip with the information to create\n",
    "# - the key\n",
    "# - the pre and post processing functions\n",
    "\n",
    "fhe_client = FHEModelClient(deployment_path)\n",
    "fhe_client.load()\n",
    "serialized_evaluation_keys = fhe_client.get_serialized_evaluation_keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# On the server side, we load the server.zip which contain the training model\n",
    "fhe_server = FHEModelServer(deployment_path)\n",
    "fhe_server.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define utils function to evaluate the model\n",
    "\n",
    "\n",
    "def model_inference(weights, bias, X):\n",
    "    # Compute the linear model\n",
    "    linear_model = np.dot(X, weights[0]) + bias[0]\n",
    "\n",
    "    # Apply the sigmoid function\n",
    "    sigmoid = 1 / (1 + np.exp(-linear_model))\n",
    "\n",
    "    # Compute the prediction\n",
    "    prediction = np.round(sigmoid)\n",
    "\n",
    "    return prediction\n",
    "\n",
    "\n",
    "def compute_model_accuracy(weights, bias, X, y):\n",
    "    # Compute the prediction\n",
    "    prediction = model_inference(weights, bias, X).squeeze()\n",
    "\n",
    "    # Compute the accuracy\n",
    "    return np.mean(prediction == y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/1 completed. Accuracy: 0.95\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "batch_size = sgd_clf_binary_fhe.batch_size\n",
    "\n",
    "# Shuffle X_binary and y_binary\n",
    "perm = np.random.permutation(X_binary.shape[0])\n",
    "X_binary = X_binary[perm, ::]\n",
    "y_binary = y_binary[perm]\n",
    "\n",
    "# Initialize the weight and bias randomly\n",
    "# They are going to be updated using FHE training.\n",
    "weights = np.random.rand(1, X_binary.shape[1], 1)\n",
    "bias = np.random.rand(1, 1, 1)\n",
    "\n",
    "# Plot the decision boundaries before starting\n",
    "plot_decision_boundary(\n",
    "    X_binary,\n",
    "    y_binary,\n",
    "    weights=weights,\n",
    "    bias=bias,\n",
    "    title=\"Decision Boundary before training\",\n",
    "    accuracy=compute_model_accuracy(weights, bias, X_binary, y_binary),\n",
    ")\n",
    "\n",
    "\n",
    "def quantize_encrypt_serialize_batches(fhe_client, x, y, weights, bias, batch_size):\n",
    "    x_batches_enc, y_batches_enc = [], []\n",
    "\n",
    "    for i in range(0, x.shape[0], batch_size):\n",
    "\n",
    "        # Avoid the last batch if it's not a multiple of 'batch_size'\n",
    "        if i + batch_size < x.shape[0]:\n",
    "            batch_range = range(i, i + batch_size)\n",
    "        else:\n",
    "            break\n",
    "\n",
    "        # Make the data X (1, batch_size, n_features) and y (1, batch_size, n_targets=1)\n",
    "        x_batch = np.expand_dims(x[batch_range, :], 0)\n",
    "        y_batch = np.expand_dims(y[batch_range], (0, 2))\n",
    "\n",
    "        # Encrypt the batch\n",
    "        x_batch_enc, y_batch_enc, _, _ = fhe_client.quantize_encrypt_serialize(\n",
    "            x_batch, y_batch, None, None\n",
    "        )\n",
    "\n",
    "        x_batches_enc.append(x_batch_enc)\n",
    "        y_batches_enc.append(y_batch_enc)\n",
    "\n",
    "    _, _, weights_enc, bias_enc = fhe_client.quantize_encrypt_serialize(None, None, weights, bias)\n",
    "\n",
    "    return x_batches_enc, y_batches_enc, weights_enc, bias_enc\n",
    "\n",
    "\n",
    "def server_run(fhe_server, x_batches_enc, y_batches_enc, weights_enc, bias_enc, evaluation_keys):\n",
    "\n",
    "    weights_enc = fhe.Value.deserialize(weights_enc)\n",
    "    bias_enc = fhe.Value.deserialize(bias_enc)\n",
    "\n",
    "    evaluation_keys = fhe.EvaluationKeys.deserialize(evaluation_keys)\n",
    "\n",
    "    # Run the circuit on the server n times, n being the number of batches sent by the user\n",
    "    for x_batch, y_batch in zip(x_batches_enc, y_batches_enc):\n",
    "        x_batch = fhe.Value.deserialize(x_batch)\n",
    "        y_batch = fhe.Value.deserialize(y_batch)\n",
    "\n",
    "        weights_enc, bias_enc = fhe_server.run(\n",
    "            (x_batch, y_batch, weights_enc, bias_enc), evaluation_keys\n",
    "        )\n",
    "\n",
    "    weights_enc = weights_enc.serialize()\n",
    "    bias_enc = bias_enc.serialize()\n",
    "\n",
    "    return weights_enc, bias_enc\n",
    "\n",
    "\n",
    "def train_fhe_client_server(\n",
    "    x,\n",
    "    y,\n",
    "    batch_size,\n",
    "    fhe_client,\n",
    "    fhe_server,\n",
    "    serialized_evaluation_keys,\n",
    "    weights,\n",
    "    bias,\n",
    "    n_epochs=1,\n",
    "):\n",
    "    acc_history = []\n",
    "\n",
    "    for epoch in range(n_epochs):\n",
    "        # Shuffle x and y\n",
    "        perm = np.random.permutation(x.shape[0])\n",
    "        x = x[perm, ::]\n",
    "        y = y[perm]\n",
    "\n",
    "        # Quantize, encrypt and serialize the batched inputs as well as the weight and bias values\n",
    "        x_batches_enc, y_batches_enc, weights_enc, bias_enc = quantize_encrypt_serialize_batches(\n",
    "            fhe_client, x, y, weights, bias, batch_size\n",
    "        )\n",
    "\n",
    "        # Iterate the circuit over the batches on the server\n",
    "        fitted_weights_enc, fitted_bias_enc = server_run(\n",
    "            fhe_server,\n",
    "            x_batches_enc,\n",
    "            y_batches_enc,\n",
    "            weights_enc,\n",
    "            bias_enc,\n",
    "            serialized_evaluation_keys,\n",
    "        )\n",
    "\n",
    "        # Back on the client, deserialize, decrypt and de-quantize the fitted weight and bias values\n",
    "        weights, bias = fhe_client.deserialize_decrypt_dequantize(\n",
    "            fitted_weights_enc, fitted_bias_enc\n",
    "        )\n",
    "\n",
    "        # Compute, store and print the epoch's accuracy\n",
    "        accuracy_score = compute_model_accuracy(weights, bias, x, y)\n",
    "        acc_history.append(accuracy_score)\n",
    "\n",
    "        print(f\"Epoch {epoch + 1}/{n_epochs} completed. Accuracy: {acc_history[-1]}\")\n",
    "\n",
    "    return weights, bias, acc_history\n",
    "\n",
    "\n",
    "weights, bias, acc_history = train_fhe_client_server(\n",
    "    X_binary,\n",
    "    y_binary,\n",
    "    batch_size,\n",
    "    fhe_client,\n",
    "    fhe_server,\n",
    "    serialized_evaluation_keys,\n",
    "    weights,\n",
    "    bias,\n",
    ")\n",
    "\n",
    "# Plot the decision final model boundary\n",
    "plot_decision_boundary(\n",
    "    X_binary,\n",
    "    y_binary,\n",
    "    weights=weights,\n",
    "    bias=bias,\n",
    "    title=\"Decision Boundary after training\",\n",
    "    accuracy=acc_history[-1],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fine-Tuning on a Rotated Dataset\n",
    "\n",
    "The encrypted training FHE circuit created allows learning parameters for different dataset as long as it has the same number of features and the floating point distribution of the input remains similar. In this section, the dataset is changed to see if the model can adapt to a task that could be seen as fine-tuning on a slightly different dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/2 completed. Accuracy: 0.92\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 2/2 completed. Accuracy: 0.94\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's rotate the dataset 90 degrees and see\n",
    "# if the model can learn the new dataset\n",
    "\n",
    "# Define the 90-degree rotation matrix\n",
    "rotation_matrix = np.array([[0, -1], [1, 0]])\n",
    "\n",
    "# Apply the rotation matrix to X_binary\n",
    "X_binary_pivoted = X_binary @ rotation_matrix\n",
    "\n",
    "# Plot before training\n",
    "plot_decision_boundary(\n",
    "    X_binary_pivoted,\n",
    "    y_binary,\n",
    "    weights=weights,\n",
    "    bias=bias,\n",
    "    title=\"Pivoted Dataset\",\n",
    "    accuracy=compute_model_accuracy(weights, bias, X_binary_pivoted, y_binary),\n",
    ")\n",
    "\n",
    "# Train the model again with the pivoted dataset\n",
    "weights_pivoted, bias_pivoted, acc_history_pivoted = train_fhe_client_server(\n",
    "    X_binary_pivoted,\n",
    "    y_binary,\n",
    "    batch_size,\n",
    "    fhe_client,\n",
    "    fhe_server,\n",
    "    serialized_evaluation_keys,\n",
    "    weights,\n",
    "    bias,\n",
    "    n_epochs=2,\n",
    ")\n",
    "\n",
    "# Plot the decision boundary for the pivoted dataset\n",
    "plot_decision_boundary(\n",
    "    X_binary_pivoted,\n",
    "    y_binary,\n",
    "    weights=weights_pivoted,\n",
    "    bias=bias_pivoted,\n",
    "    title=\"Decision Boundary after training on pivoted dataset\",\n",
    "    accuracy=acc_history_pivoted[-1],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clean the temporary directories and their content\n",
    "deployment_dir.cleanup()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "In this notebook, we have trained a logistic regression model in FHE. We have also seen how to evaluate the accuracy of the model on encrypted data and how to deploy the model for production.\n",
    "\n",
    "Disclaimer: FHE training is a very experimental feature (e.g. only learning rate = 1 supported) and can exhibit a lot of variance during training.\n"
   ]
  }
 ],
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   "timeout": 10800
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